CSP 2021 ICMIP 2021 2021 IEEE 5th International Conference on Cryptography, Security and Privacy 2021 6th International Conference on Multimedia ...
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CSP 2021
ICMIP 2021
January 8-10, 2021
Zhuhai, China
2021 IEEE 5th International Conference on
Cryptography, Security and Privacy
2021 6th International Conference on
Multimedia and Image Processing
Sponsored by Supported by
Patrons
11
CSP 2021
ICMIP 2021
January 8-10, 2021
Zhuhai, China
Onsite Registration Guide:
Arrive at the conference venue→Show your ID→Inform the conference staff of your paper ID→Sign your
name on the participants list→Check your conference materials.
Devices Provided by the Conference Organizer:
Laptops (with MS-Office & Adobe Reader); Projectors & Screen; Laser Sticks
Materials Provided by the Presenters:
PowerPoint or PDF files
Duration of Each Presentation:
Regular Oral Session: 15 Minutes of Presentation including 2-3 Minutes of Q&A
Notice:
*Certificates of listener can be collected in the registration counter.
*Certificates of presentation can be collected from the session chair after each session.
*The organizer will not provide accommodation, so we suggest you make an early reservation.
*One best presentation will be selected from each session. The best one will be announced when each
session ends, and will be awarded by the session chair after each session in the meeting room.
Attention:
*Do not forget to wear a mask due to situation of COVID-19.
*Wear your delegate badge (name tag) for all conference activities.
*Take good care of your valuables at any time during the conference.
Contacts:
CSP 2021 ICMIP 2021
Ms. Ching Cao Ms. Sukie Yao
Email: iccsp_conf@126.com Email: icmip2016@vip.163.com
Tel: +86-137-3111-1131 Tel: +86-130-9633-3337
22
VENUE
January 8-10, 2021
Zhuhai, China
Grand Nest Hotel Zhuhai (珠海旭日湾巢酒店)
Address: No.11 Tangqi Road, Tangjia Wan, Zhuhai, Guangdong
地址: 广东省珠海市唐家湾唐淇路 11 号
www.grandnesthotel.com
Grand Nest Hotel Zhuhai is located in the beautiful surroundings of the Tangjia Bay in Zhuhai. The hotel
has 217 individual rooms and high-end business club facilities. It is a themed boutique hotel in Zhuhai.
The famous designer has designed 11 kinds of scenario rooms with ingenuity and ingenuity. The hotel is
full of personality, fashion, warmth, comfort, romance and elegant design elements, creating a unique
value-for-money stay experience.
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3
Zoom Guidance
Zoom Guidance
Zoom Performance Chart
KEYNOTE & PARALLEL SESSIONS
ROOM Meeting ID Meeting Link
A3 678 1262 6226 https://zoom.com.cn/j/67812626226
A6 687 1789 1504 https://zoom.com.cn/j/68717891504
B3 619 5144 3949 https://zoom.com.cn/j/61951443949
◆Pre-Test Guidance
January 8: All online attendees are required to join the pre-test via Zoom.
Duration: 5 minutes for each one.
Test for: Zoom operation, please get PPT or PDF slides prepared beforehand.
◆Naming Rule: ◆ Official Service WeChat Account
Keynote Speaker: Keynote-Name
Committee Member: Position-Name
Author: Paper ID-Name
Listener: Listener-Name
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4
TABLE of CONTENTS
January 8-10, 2021
Zhuhai, China
Welcome Message 6
Conference Committees 7
Agenda Overview 9
Pre-test Timetable 12
Introduction of Speakers 13
Parallel Sessions
Onsite Session: Data and Information Security 20
Virtual Session 1: Data security and Information Management 25
Virtual Session 2: Computer and Intelligent Computing 30
Virtual Session 3: Communication Network and Information Technology 36
Virtual Session 4: Image Processing Technology and Methods 42
One-day Tour 48
Note 49
5
5
WELCOME MESSAGE
January 8-10, 2021
Zhuhai, China
Welcome to 2021 IEEE 5th International Conference on Cryptography, Security and Privacy
(CSP 2021), 2021 6th International Conference on Multimedia and Image Processing (ICMIP
2021).
As you have been aware, COVID-19 is still out of control for many countries, and the safety and
well-being of our participants is of paramount importance to us. Therefore, after serious
consideration, the committee has made the difficult decision to have CSP 2021 and ICMIP 2021
as an onsite conference combined with virtual mode.
The objective of the conferences is to provide a premium platform to bring together
researchers, scientists, engineers, academics and graduate students to share up-to-date
research results. We are confident that during this time you will get the theoretical grounding,
practical knowledge, and personal contacts that will help you build a long term, profitable and
sustainable communication among researchers and practitioners in the related scientific areas.
We would like to express our gratitude to our distinguished speakers, IEEE and IET Fellow, Prof.
Ce Zhu, University of Electronic Science and Technology of China, China; IEEE and AAAS Fellow,
Prof. Jie Wu, Temple University, USA; IEEE Fellow, Prof. Guoliang XING, The Chinese University
of Hong Kong, Hong Kong; Prof. Yong Guan, Iowa State University, USA; Prof. Hiroyuki Kudo,
University of Tsukuba, Japan; Dr. Chau Kien Tsong, Universiti Sains Malaysia, Malaysia; Dr. Yang
Liu, Harbin Institute of Technology (Shenzhen), China and other distinguished scholars for
sharing their deep insights on future challenges and trends in the conferences.
Special thanks go to our committee members, all the reviewers, researchers and students who
participate in the conferences. Hope you will enjoy the conferences and have an unforgettable
experience!
Conference Committees
CONFERENCE COMMITTEES
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6
Conference Committees
January 8-10, 2021
Zhuhai, China
Advisory Committees
Ce Zhu (IEEE and IET Fellow), University of Electronic Science and Technology of China, China
Jie Wu (IEEE and AAAS Fellow), Temple University, USA
Guoliang XING (IEEE Fellow), The Chinese University of Hong Kong, Hong Kong
Conference Chairs
Zhiwen Zhao (Dean), Beijing Normal University, Zhuahai, China
Wanyang Dai, Nanjing University, China
Conference Co-Chair
Shuangbao Wang, Morgan State University, USA
Steering Chair
Yulin Wang, Wuhan University, China
Program Chairs
Shahram Latifi (IEEE Fellow), University of Nevada, USA
Jaouhar Fattahi, Laval University, Canada
Eric Sakk, Morgan State University, USA
Rose Shumba, Bowie State University, USA
Jalel Ben-Othman, Université de Paris, France
Hiroyuki Kudo, University of Tsukuba, Japan
Fehmi Jaafar, The Computer Research Institute of Montreal and Concordia University, Canada
Publication Chair
Jing Wang, Wuhan University, China
Publicity Chairs
Rongfang Bie, Beijing Normal University, China
Xiangyang Hao, Information Engineering University, China
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7
Conference Committees
January 8-10, 2021
Zhuhai, China
Technical Committees
Sherali Zeadally, University of Kentucky, USA
Hung-Yu Chien, National Chi Nan University, Taiwan
Pljonkin Anton Pavlovich, Southern Federal University, Russia
Paulo Batista, Cultures and Societies of the University of Évora, Portugal
Daniel B. da Costa, Federal University of Ceará, Brazil
Mohammad Motiur Rahman, Mawlana Bhashani Science and Technology University, Bangladesh
Ashraf Darwish, Helwan University, Russia
Priteshkumar Prajapati, Chandubhai S. Patel Institute of Technology, India
Nagendra Swamy Siddappa Handarakally, University of Mysore, India
Ivan Izonin, Lviv Polytechnic National University, Ukraine
Abdelkrim Mebarki, Université des sciences et de technologie d’Oran, Algeria
Jian Dong, Tianjin University of Technology and Education, China
Maleerat Maliyaem, King Mongkut's University of Technology North Bangkok, Thailand
Lili Nurliyana Abdullah, Universiti Putra Malaysia, Malaysia
Anyong Qing, Tsinghua University, China
Xiaofeng Wang, Xi'an University of Technology, China
Shixiang Cao, Beijing Institute of Space Mechanics & Electricity, China
Min Li, Nanjing University of Science and Technology, China
Malka N.Halgamuge, Melbourne School of Engineering, Australia
Chau Kien Tsong, Universiti Sains Malaysia, Malaysia
Por Fei Ping, Wawasan Open University, Malaysia
Asmaa Shaker Ashoor, University of Babylon, Iraq
Saju Subramanian, Dr. Mahalingam College of Engineering and Technology, India
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8
AGENDA OVERVIEW
January 8-10, 2021
Zhuhai, China
January 8-Friday (GMT+8)
14:00-17:30 Participants Check-in & Materials Collection Lobby
10:00-17:00 Pre-test for Online Participants
January 9 -Saturday (GMT+8) Keynote Session
Venue for onsite: 海鸥厅 Seagull Seminar Room, 2F
Online Room: B3
Link: https://zoom.com.cn/j/61951443949 ID: 619 5144 3949
Host: Shuangbao Wang, Morgan State University, USA
Opening Remarks
09:00-09:05
Prof. Zhiwen Zhao, (Dean) Beijing Normal University, Zhuahai, China
Speaker I
Prof. Jie Wu, Temple University, USA (IEEE and AAAS Fellow)
09:05-09:45
Speech Title: Cyber Security Defense: From Moving Target Defense to Cyber Deception
09:45-09:50 Q&A
Speaker II
Prof. Yong Guan, Iowa State University, USA
09:50-10:30 Speech Title: An Algebraic Quality-Time-Advantage-Based Key Establishment Paradigm
for Securing Wireless Networks
10:30-10:35 Q&A
10:35-10:50 Coffee Break & Group Photo Foyer
Speaker III
Prof. Ce Zhu, University of Electronic Science and Technology of China, China
10:50-11:30 (IEEE and IET Fellow)
Speech Title: Substitute Training for Adversarial Attacks - Is Real Training Data Really
Necessary?
11:30-11:35 Q&A
Speaker IV
Prof. Guoliang XING, the Chinese University of Hong Kong, Hong Kong (IEEE
11:35-12:15
Fellow)
Speech Title: Tackling the Challenges of Machine Learning for Mobile Health Systems
12:15-12:20 Q&A
12:20-13:30 Lunch & Break Restaurant: 中餐厅, 1F
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9
AGENDA OVERVIEW
January 8-10, 2021
Zhuhai, China
Speaker V
13:30-14:00 Prof. Hiroyuki Kudo, University of Tsukuba, Japan
Online Room: B3 Speech Title: Image Reconstruction for Sparse-View CT and Interior CT
Link: https://zoom.com.cn/j/61951443949 ID: 619 5144 3949
Speaker VI
14:00-14:25 Dr. Yang Liu, Harbin Institute of Technology (Shenzhen), China
Venue: 海鸥厅, 2F Speech Title: On the Trade-off between Privacy and Utility in Mobile Services: A
Seagull Seminar Room Qualitative Study
Link: https://zoom.com.cn/j/68717891504 ID: 687 1789 1504
Speaker VII
Dr. Chau Kien Tsong, Universiti Sains Malaysia, Malaysia
14:00-14:25
Speech Title: The Perception of University Learners on Multimedia and Image
Online Room: B3
Processing Courses in Malaysia
Link: https://zoom.com.cn/j/61951443949 ID: 619 5144 3949
Parallel Sessions
14:30-16:30
Onsite Session: Data and Information Security
Venue: 海鸥厅, 2F
Presentation Papers: P008 P009 P014 P1004 P016 P0007 P033
Seagull Seminar Room
Link: https://zoom.com.cn/j/68717891504 ID: 687 1789 1504
Online Room: A6
16:30-17:00 Coffee Break-Foyer
Virtual Session 1: Data Security and Information Management
14:30-16:45
Presentation Papers: P011 P022 P027 P028 P035 P037 P036
Online Room: B3
P013 P034
Link: https://zoom.com.cn/j/61951443949 ID: 619 5144 3949
Virtual Session 2: Computer and Intelligent Computing
14:30-17:15
Presentation Papers: P023 P001 P0012 P007 P025 P0010 P2003
Online Room: A3
P021 P2004 P038 P0019
Link: https://zoom.com.cn/j/67812626226 ID: 678 1262 6226
18:00-20:00 Dinner Restaurant: 中餐厅, 1F
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10AGENDA OVERVIEW
January 8-10, 2021
Zhuhai, China
January 10-Sunday
Virtual Session 3: Communication Network and Information Technology
9:30-12:00 Presentation Papers: P019 P030 P017 P024 P032 P020 P015 P004
Online Room: B3 P031 P029
Link: https://zoom.com.cn/j/61951443949 ID: 619 5144 3949
Virtual Session 4: Image Processing Technology and Methods
9:30-12:00
Presentation Papers: P0009 P010 P0013 P0014 P0015 P0016 P0017
Online Room: A3
P0001 P0011 P2001 P2005
Link: https://zoom.com.cn/j/67812626226 ID: 678 1262 6226
One Day Tour in Zhuhai
CONFERENCE VENUE
11
11Pre-test Timetable
January 8-Friday (GMT+8)
Online Room: B3 Link: https://zoom.com.cn/j/61951443949 ID: 619 5144 3949
Time Paper ID Time Paper ID
Morning
P019 P034
P017 P001
P015 & P030 P0012
P031 P007
P032 P025
10:00-10:50 11:00-11:50
P023 P0010
P011 P2003 & P2004
P022 P024
P013 P020
P004 P029
Afternoon
P0009 P027
P010 P028
P0013 P035
P0014 15:00-15:50 P037
P0015 P036
14:00-14:50
P0016 P021
P0017 P038
P0001
P0011
P2001
Note: 16:00-17:00 alternative time for participants who are unavailable at allocated time.
12
12Introduction of Speakers
Jie Wu
Speech Title: Cyber Security Defense: From Moving Target
Defense to Cyber Deception
Abstract: Deception technology is an emerging field of cyber security defense.
Products from deception technology can detect, analyze, and defend against
zero-day and advanced attacks. The talk starts with the discussion of some
unique challenges with cyber deception, as compared with some other
deception technology such as in the military. We then focus on moving target
defense with a couple of examples and some recent results. Finally, we
discuss several future directions of cyber deception research with a focus on
Temple University, USA game and theoretical models.
Biography: Jie Wu is the Director of the Center for Networked Computing and
Laura H. Carnell professor at Temple University. He also serves as the
Director of International Affairs at College of Science and Technology. He
served as Chair of Department of Computer and Information Sciences from
the summer of 2009 to the summer of 2016 and Associate Vice Provost for
International Affairs from the fall of 2015 to the summer of 2017. Prior to
joining Temple University, he was a program director at the National Science
Foundation and was a distinguished professor at Florida Atlantic University.
His current research interests include mobile computing and wireless
networks, routing protocols, cloud and green computing, network trust and
security, and social network applications. Dr. Wu regularly publishes in
scholarly journals, conference proceedings, and books. He serves on several
editorial boards, including IEEE Transactions on Mobile Computing, IEEE
Transactions on Service Computing, Journal of Parallel and Distributed
Computing, and Journal of Computer Science and Technology. Dr. Wu was
general co-chair for IEEE MASS 2006, IEEE IPDPS 2008, IEEE ICDCS 2013,
ACM MobiHoc 2014, ICPP 2016, and IEEE CNS 2016, as well as program co-
chair for IEEE INFOCOM 2011 and CCF CNCC 2013.
He was an IEEE Computer Society Distinguished Visitor, ACM Distinguished
Speaker, and chair for the IEEE Technical Committee on Distributed
Processing (TCDP). Dr. Wu is a Fellow of the AAAS and a Fellow of the IEEE. He
is the recipient of the 2011 China Computer Federation (CCF) Overseas
Outstanding Achievement Award.
13
13Introduction of Speakers
Yong Guan
Speech Title: An Algebraic Quality-Time-Advantage-Based Key
Establishment Paradigm for Securing Wireless Networks
Abstract: The essence of information assurance resides in the ability to
establish secret keys between the legitimate communicating parties.
Common approaches to key establishment include public-key infrastructure,
key-distribution centers, physical-layer security, or key extraction from
common randomness. Of these, the latter two are based on specific natural
advantages that the legitimate parties hold over their adversaries – most
often, such advantages rely on superior or privileged communication
channels. Our efforts in this work tackle a key-establishment protocol that
relies on a completely different type of advantage: time. The protocol builds
Iowa State University, USA
on the idea that when two devices are able to spend a pre-determined,
mostly uninterrupted, interval of time in the company of each other, and
when such a feat is outside the capability of any realistic attacker, then the
legitimate parties should be able to establish a secret key without any prior
common information. In this talk, we will present a basic efficient
time-based key establishment protocol, and demonstrate how it can be
extended to follow customized information transfer functions and deal with
predictable fluctuations of wireless interference. This line of research
starting from our Adopted-Pet protocol, has created a full set of research
opportunities and new paradigm in securing the next-generation wireless
networks such as various IoT and 5G systems.
Biography: Dr. Yong Guan is a professor of Electrical and Computer
Engineering, the Associate Director for Research of Information Assurance
Center at Iowa State University, and Cyber Forensics Coordinator of the NIST
Center of Excellence in Forensic Sciences – CSAFE. He received his Ph.D.
degree in Computer Science from Texas A&M University in 2002, MS and BS
degrees in Computer Science from Peking University in 1996 and 1990,
respectively. With the support of NSF, IARPA, NIST, and ARO, his research
focuses on security and privacy issues, including digital forensics, network
security, and privacy-enhancing technologies for the Internet. The resulted
solutions have addressed issues in attack attribution, secure network
coding, key management, localization, computer forensics, anonymity, and
online frauds detection. He served as the general chair of 2008 IEEE
Symposium on Security and Privacy (Oakland 2008, the top conference in
security), co-organizer for ARO Workshop on Digital Forensics, and the
co-coordinator of Digital Forensics Working Group at NSA/DHS CAE
Principals Meetings. Dr. Guan has been recognized by awards including NSF
Career Award, ISU Award for Early Achievement in Research, the Litton
Industries Professorship, and the Outstanding Community Service Award of
IEEE Technical Committee on Security and Privacy.
14
14Introduction of Speakers
Ce Zhu
Speech Title: Substitute Training for Adversarial Attacks - Is Real
Training Data Really Necessary?
Abstract: Recent study shows machine learning models are extremely
vulnerable to adversarial attacks. Substitute attacks, typically black-box
ones, employ pre-trained models to generate adversarial examples. It is
generally accepted that substitute attacks need to acquire a large amount of
real training data combined with model-stealing methods to obtain a
University of Electronic Science substitute model. However, the real training data may be difficult (if not
and Technology of China, China impossible) to be obtained for some practical tasks, e.g., in medical or
financial sectors. As the first trial study, the talk will present our recently
developed data-free model-stealing method for substitute training that does
not require any real training data. The experimental results demonstrate
that the substitute models produced by the proposed method without any
real training data can achieve competitive performance against the baseline
models trained by the same training set as in attacked models.
Biography: Ce ZHU is currently with the School of Information and
Communication Engineering, University of Electronic Science and
Technology of China (UESTC), China, as a Changjiang Professor and the
founding Director of Lab of Advanced Visual Communication & Computing.
He was with the School of Electrical & Electronic Engineering, Nanyang
Technological University (NTU), Singapore, for 14 years from 1998 to 2012,
where he was a Research Fellow, a Program Manager, an Assistant Professor
and then promoted to an Associate Professor in 2005. He also held visiting
positions at Queen Mary, University of London (UK) in 2008, and Nagoya
University (Japan) in 2011. Before that, he pursued postdoctoral research at
the Chinese University of Hong Kong, Hong Kong, in 1995, City University of
Hong Kong, Hong Kong, and the University of Melbourne, Australia, from
1996 to 1998. He received the B.S. degree from Sichuan University, Chengdu,
China, in 1989, and the M.Eng and Ph.D. degrees from Southeast University,
Nanjing, China, in 1992 and 1994, respectively, all in electronic and
information engineering.
He is a Fellow of the IEEE (2017, "for contributions to video coding and
communications"), and a Fellow of the IET (2014). He is an IEEE
Distinguished Lecturer of CASS (2019-2020) and of BTS (2012- ). More
details...
15
15Introduction of Speakers
Guoliang XING
Speech Title: Tackling the Challenges of Machine Learning for
Mobile Health Systems
Abstract: The prominence of mobile devices and recent breakthroughs in
machine learning have enabled an emerging class of new mobile health
systems which hold the promise of transforming today’s reactive healthcare
practice to proactive, individualized care and wellbeing. However, the
current mainstream machine learning approaches are largely supervised
and must be trained by a large amount of labelled high-quality data.
Moreover, personal health data collected by on-device sensors cannot be
The Chinese University of uploaded or shared with other devices due to privacy concerns. These
Hong Kong, Hong Kong challenges have significantly hindered the performance and utility of mobile
health systems in real-world settings. In this talk, I will first discuss new
mobile systems that exploit human physiological models and innovative use
of sensing modalities to achieve highly robust sensing performance without
requiring extensive training. I will describe RunBuddy - the first
smartphone-based system for monitoring continuous running rhythm and
improving exercise efficiency. Based on this result, we also develop
BreathCoach, a smart and unobtrusive system using smartwatch and
smartphone-based VR for in-home RSA-BT (Respiratory Sinus Arrhythmia
biofeedback-based Breathing Training), which is a common
cardiorespiratory intervention to diseases such as asthma and an effective
exercise to reduce anxiety. More details...
Biography: Prof. Guoliang Xing received the B.S. and M.S degrees from Xi’an
Jiao Tong University, China, in 1998 and 2001, and the D.Sc. degree from
Washington University in St. Louis, in 2006. He is currently a Professor in
the Department of Information Engineering, the Chinese University of Hong
Kong. Previously, he was a faculty member at City University of Hong Kong
and Michigan State University, U.S.
Professor Xing’s research lies at the intersection between systems,
embedded AI, data/information processing algorithms, and domain
sciences, with a focus on interdisciplinary applications in health,
environment, and energy. His research group develops new technologies at
the frontier of mobile health, Cyber-Physical Systems (CPS), Internet of
Things (IoT), wireless networks, security and privacy. Several mobile health
16
16Introduction of Speakers
Hiroyuki Kudo
Speech Title: Image Reconstruction for Sparse-View CT and
Interior CT
Abstract: Since 2000, it has been widely recognized that radiation dose in
CT examinations increases cancer risk. To overcome this drawback, new
designs of CT scanners such as sparse-view CT and interior CT have been
actively investigated in CT community. The sparse-view CT refers to CT in
which the number of projection data is reduced to decrease patient dose as
well as to accelerate data acquisition. The interior CT refers to CT in which
x-rays are radiated only to a small region of interest (ROI) to decrease
University of Tsukuba, Japan patient dose. A key in these scanners is how to reconstruct images with
sufficient quality from the limited projection data. This talk mainly consists
of two parts. The first part is concerned with image reconstruction for the
sparse-view CT using Compressed Sensing (CS) and Deep Learning (DL). CS
is a promising technique appeared around 2005, which is able to reconstruct
high-quality images even from the limited number of projection data.
Furthermore, since 2018, DL has also been investigated for the sparse-view
CT image reconstruction. The explanation will be constructed as follows.
First, we explain basic knowledge on this subject, which includes the
principle of sparse-view CT, as well as the principle of CS and DL image
reconstruction. Second, we introduce our recent research activities on this
topic, as well as showing application examples to medical xray CT, x-ray
phase CT, and electron tomography. The second part is concerned with
image reconstruction for interior CT. More details...
Biography: In March 1990. Hiroyuki Kudo received his doctoral degree in
electrical and communication engineering from the Tohoku University,
Japan. Since then, he has worked at the Tohoku University for 2 years, and
then at the University of Tsukuba for 28 years. Currently, he is a Professor at
Faculty of Engineering, Information and Systems, the University of Tsukuba,
Japan. His scientific interests include medical image analysis, image
reconstruction for medical tomography devices such as Computed
Tomography (CT) and Positron Emission Tomography (PET), and
computer-aided-diagnosis. In particular, he spent a long time of his research
career to develop advanced image reconstruction methods in tomography.
Most of his research results have been published in top journals in this
research field such as Physics in Medicine and Biology and IEEE
Transactions on Medical Imaging. Furthermore, his papers have been cited
4,000 times in Google Scholar and 2,000 times in Web of Science, in total.
and worked as a Guest Editor for IEEE Transactions on Medical Imaging.
More details...
17
17Introduction of Speakers
Yang Liu
Speech Title: On the Trade-off between Privacy and Utility in
Mobile Services: A Qualitative Study
Abstract: While the widespread use of mobile services offers a variety of
benefits to mobile users, it also raises serious privacy concerns. We report
the results of a user study that investigated the factors that influence the
decision-making process pertaining to the trade-off between privacy and
utility in mobile services. Through two focus groups, 16 individual
interviews and a questionnaire survey involving 60 participants, the study
Harbin Institute of Technology
identified awareness and knowledge of privacy risks, trust in service
(Shenzhen), China
providers, desire for mobile services, and belief of cyber privacy as four
factors that contribute to the perceived trade-off. The results also suggest
that, with appropriate adoption, privacy-preserving tools can positively
influence the privacy trade-off. In addition, our findings explore the cultural
differences regarding privacy between participants from western countries
(with the UK as the main representative) and China. In particular, the results
suggest that participants from China are more likely to be comfortable with
a government department protecting their individual privacy, while
participants from western countries are more likely to wish to see such
responsibility reside with some combination of individuals and
non-governmental organisations.
Biography: Yang Liu received his D.Phil (PhD) degree in Computer Science
from University of Oxford in July 2018. Prior to joining Oxford, He received
an MSc from Peking University and a B.Eng from Ocean University of China.
He is currently an Assistant Professor and an Associate Research Fellow in
School of Computer Science and Technology, Harbin Institute of Technology
(Shenzhen), China. He is also a dual-employed research scholar in Cyber
Security Research Center, Peng Cheng Laboratory (Provincial Laboratory of
Cyberspace Science and Technology of Guangdong). He is interested in
security and privacy problems and, in particular, the privacy issues on
mobile devices and Internet of Things (IoT). He has received research grants
for more than 4 million RMB during the past two years. He is currently
undertaking several national, provincial and municipal scientific research
projects directly related to the topic of privacy protection.
18
18Introduction of Speakers
Chau Kien Tsong
Speech Title: The Perception of University Learners on
Multimedia and Image Processing Courses in Malaysia
Abstract: Multimedia and Image Processing Courses are always presumed
as difficult and hard subjects for students in the Universities. These are
attributed to their technical algorithms and abstract concepts in the two
courses. In this talk, Dr Chau will present the research outcomes on his
students on why and what makes this two courses difficult from the
perspectives of the students. Knowledge and understanding in these respect
would facilitate effective teaching and learning, thereby allow the students
Universiti Sains Malaysia,
to attain better learning performance for these two subjects in University.
Malaysia
Discussion on these two courses are of significance because Multimedia and
Image Processing are foundational courses for higher end courses such as
Artificial Intelligence courses.
Biography: Dr. Chau Kien Tsong is Deputy Director (Postgraduate, Network
& Alumni) at the Centre for Instructional Technology and Multimedia,
Universiti Sains Malaysia (USM), Penang, Malaysia. Dr. Chau received his
undergraduate degree from the National University of Malaysia (UKM). He
has Master of Science (IT) from Prince University of Malaysia (UPM). His
PhD. degree is from USM. His academic background is image processing,
multimedia authoring, 2D and 3D animations, and educational technology.
He has been recognised for excellence in teaching and research, earning 2
gold medals in two international innovation competitions held in 2018 in
Malaysia and best paper award for research paper on motivated sensing
multimedia system for preschoolers in “International Conference on
Education, Teaching, and E-Learning” in 2017. Prior to his career at the USM,
Dr. Chau was a research fellow in USM. Dr. Chau is currently editorial board
members of three international journals, academic consultant and external
examiner of private institutions of higher learning in Malaysia, META and
IEEE member, and has been judge, session chair, and program committee for
several conferences. Dr. Chau has over 25 publications, which include
SCOPUS and ERA indexed journals.
19
19Parallel Sessions
Time Zone: GMT+8
Tips:
Please arrive at conference room/join in online meeting room 15 minutes earlier.
There will be a session group photo part at the end of each session.
Onsite Session: Data and Information Security
Chair: Dr. Yang Liu, Harbin Institute of Technology (Shenzhen), China
Time: 14:30-16:30, January 9
Venue: 海鸥厅 Seagull Seminar Room, 2F
Online Room: A6 Link: https://zoom.com.cn/j/68717891504 ID: 687 1789 1504
P002 A Partial-Lifting-Based Compiling Concolic Execution Approach
14:30-14:45 Haotian Zhang
State Key Laboratory of Mathematical Engineering and Advanced Computing,
China
Abstract-It has been a common phenomenon that embedded devices are used
ubiquitously while the security of proprietary software running on devices has
become more and more significant. These softwares are often presented to
researchers in binary forms. Due to the lack of program semantics and
meta-information, it is very difficult to analyze manually in large-scale binary
programs. Therefore, automatic binary program analysis has become a critical
research direction. Symbolic execution is an important method of automatic
analysis, due to the problem of path explosion in traditional symbolic execution, it
is sometimes complecated to explore the deep-level path of the program, and the
most of current execution engines using IR translation execution, resulting in
symbolic execution velocity has been exceedingly restrained, comparing to native
execution. To this end, we propose a binary program oriented
partial-lifting-based compile concolic execution approach, which is combined
with static analysis to dissect the binary parts that researchers are intrigued in.
The program is simultaneously combined with semantic lifting, dynamic memory
monitoring, and symbolic compiler to reconstruct it into a symbolic binary
program. Users can perform concolic execution on this program repeatly, so as to
explore the part of the original binary program at a rate close to nativeexecution.
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P008 A Blockchain-based Privacy-Preserving Recommendation Mechanism
14:45-15:00 Liangjie Lin
Harbin Institute of Technology (Shenzhen), China
Abstract-System is widely used to predict users’ interests and provide targeted
products for them, which effectively facilitates users in the era of big data where
information overload problem is prevalent. Unfortunately, massive data closely
related to users’ privacy is in high demand to produce more accurate predictions.
In this case, the collection and transmission of such data is communication costly;
to process and analyze such data is of high possibility to compromise users’
privacy. In this paper, we propose a privacy-preserving recommendation
mechanism based on blockchain, which well addresses these problems.
Leveraging the inherent advantages of blockchain, we establish a completely
distributed model mitigating the risk of privacy disclosure caused by central data
storage. Moreover, we combine Inter-Planetary File System with blockchain to
greatly improve the communication efficiency. We also introduce local sensitive
hashing and local differential privacy into proposed mechanism to reduce the
computation load and provide a strong privacy guarantee. The experimental
results demonstrate that the proposed mechanism shows better performance on
privacy preservation while maintaining desirable recommendation accuracy
when compared with the baseline.
P009 A Novel Edge Computing Offloading and Privacy-preserving Scheme for Energy
15:00-15:15 Internet
Kunchang Li
North China Electric Power University, China
Abstract-With the rapid development of Internet of things technology, "massive"
data generated by Internet of things terminals ，which leads to the problem of
excessive cloud computing pressure and network delay. Therefore, edge
computing emerges as the time requires. At the same time, the privacy security of
edge computing is particularly important. In this paper, ZSS short signature
algorithm and Paillier homomorphic cryptosystem are used to propose a secure
and efficient edge computing privacy-preserving in energy Internet. The scheme
can achieve data confidentiality and privacy-preserving. Finally, the model of
unloading is established to solve the problem quickly. Experimental results show
that our scheme has less computation and communication overhead.
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P014 Dimensionality-reduced Secure Outlier Detection on Union of Subspaces
15:15-15:30 Kunzan Liu
Tsinghua University, China
Abstract-In the problem of outlier detection (OD) on a union of subspaces (UoS),
inliers are assumed to lie around a union of low-dimensional subspaces, and the
goal is to detect the outliers that are not close to any of these subspaces. Among
various algorithms, sparse self-representation-based ones have attracted much
attention because of their theoretical performance guarantee. However, these
algorithms need direct access to all raw data, and thus have poor data security
and privacy protection capability. To solve this problem, in this paper we propose
a new algorithm called dimensionalityreduced secure outlier detection (DrSOD),
which uses random projection as a preprocessing step to avoid direct access to
the raw data. We theoretically prove that DrSOD can correctly detect outliers with
overwhelming probability under connectivity assumptions. In addition, the
random projection step improves the computational efficiency of the algorithm.
Experiments on synthetic and real-world datasets also demonstrate the
effectiveness and efficiency of DrSOD.
P1004 Research on Malware Variant Detection Method Based on Deep Neural Network
15:30-15:45 XING Jianhua
Beijing Jinghang Computation and Communication Research Institute, China
Abstract-To deal with the increasingly serious threat of industrial information
malicious code, the simulations and characteristics of the domestic security and
controllable operating system and office software were implemented in the
virtual sandbox environment based on virtualization technology in this study.
Firstly, the serialization detection scheme based on the convolution neural
network algorithm was improved. Then, the API sequence was modeled and
analyzed by the improved convolution neural network algorithm to excavate
more local related information of variant sequences. Finally the variant detection
of malicious code was realized.Results showed that this improved method had
higher efficiency and accuracy for a large number of malicious code detection,
and could be applied to the malicious code detection in security and controllable
operating system.
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P016 A LSTM-Based Channel Fingerprinting Method for Intrusion Detection
15:45-16:00 Ma Ting
Southwest Petroleum University, China
Abstract-Intrusion detection is a crucial issue for 5th generation (5G) access
networks to securely support various services. Traditional cryptographic
key-based solutions are not suitable for severe resources-constrained networks,
such as the Internet of Things (IoT). In this paper, we propose a lightweight
intrusion detection mechanism by exploring physical layer attributes that are
unique and difficult to impersonate. Specifically, a long-short memory network
(LSTM) is employed as an intelligent classifier to distinguish different
transmitters based on channel state information (CSI) features. Then we develop
a comprehensive 5G NR channel detection model based on LSTM under dynamic
channel conditions to identify malicious attacks by intelligently analyzing CSI. The
simulation results demonstrate that the proposed solution improves detection
accuracy and successfully prevent systems from spoofing attacks.
P0007 Nonlinear Filtered Compressed Sensing Applied on Image De-noising
16:00-16:15 Jian Dong
Tianjin University of Technology and Education, China
Abstract-In the present era, the need for studies on noise removal by image
processing is still considerable. In this paper, we developed a compressed sensing
(CS) based algorithm for image de-nosing. Optimization theory was utilized. A
cost function consisting of data fidelity term and penalty term was proposed. The
minimization of cost function was achieved by proximal minimization method.
The advantage of the algorithm is two-fold. First, we embedded the filtering
procedure into a CS framework. It enhanced the effectiveness of filtering strategy.
As known, repetitive post filters make images blurred, but CS in the proposed
algorithm could keep the image clarity while achieving noise depression. Second,
selectivity of filter type, especially nonlinear filters, strengthened the
effectiveness and practicability of CS. With increasing number of literatures
revealing the failure of total variation (TV) method in processing images with rich
details, the new algorithm could preserve image textures and object boundaries
accurately. Convergence property of the novel algorithm was also proved by the
de-nosing instance. Among the nonlinear filters, nonlocal weighted median filter
based CS presented the best de-noising effectiveness. The algorithm is considered
to have a potential application value in other image processing issues, such as
image restoration and reconstruction.
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P033 DECH: A novel attack pattern of cloud environment and its countermeasures
16:15-16:30 Haoyu Gao
College of Data Science and Application, Inner Mongolia University of Technology,
China
Abstract-Cloud computing has become more and more vital in digital world as a
basic technique of many services. As the foundation of cloud computing, the cloud
platform hosts various cloud services running on it and providing interfaces to
cloud users. Thus, it becomes a high-value target in attacker’s eyes. This paper
proposes a novel attack pattern named DECH for intruding and controlling a
cloud platform standing on the side of attackers. From the defenders’ perspective,
this paper points out the key measures to enforce cloud service security are to
restrict the Trust Computing Base (TCB) size and strengthen the isolation
between cloud components. Then we provide countermeasures against “Detect
Escape Control and Harvest” (DECH) based on the combination of Software Guard
Extensions (SGX) and Trust Domain Extensions (TDE). This research provisions
references for building secure cloud services.
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Virtual Session 1: Data Security and Information Management
Chair: Prof. Martin Butler, Stellenbosch University, South Africa
Time: 14:30-16:45, January 9
Online Room: B3 Link: https://zoom.com.cn/j/61951443949 ID: 619 5144 3949
P011 ECDSA-Compatible Privacy Preserving Signature with Designated Verifier
14:30-14:45 Sam Ng
Crypto.com, Hong Kong
Abstract-We present the first ECDSA compatible privacy preserving signature
scheme, which is based on the work of nominative signature, with a designated
verifier. The use case for this signature scheme is to sign personal information.
For example, a user can prove to an insurance company that they are diagnosed
with a certain disease and is eligible for an insurance claim. The insurance
company will be convinced the doctor’s signature is genuine but it cannot leak the
information with a convincing proof (i.e. the signature verification proof is not
transferable, but leaking information without a proof is still possible). As in our
example, the signature generation has to be initiated by the patient, with the help
of the doctor, and the signature can only be verified by interacting with the
patient directly.
P022 PRADroid: Privacy Risk Assessment for Android Applications
14:45-15:00 Yang Yang
Henan Province Key Laboratory of Information Security, China
Abstract-Android has become the most popular mobile operating system all over
the world. Due to its openness, users can install applications freely. At the same
time, users are increasingly storing personal privacy information in their mobile
phones, which has led to Android becoming the main target of malicious
applications, and privacy leaks have occurred from time to time. Although the
Android operating system provides the permissions to restrict the ability of
applications to access sensitive resources, users do not pay much attention to the
granting of permissions, which makes malicious applications available. Therefore,
it is of great significance to make risk assessments for applications before
installation. In this paper we propose a privacy risk assessment framework called
PRADroid for Android applications. Through likelihood assessment based on
permissions and severity assessment based on information flow analysis, a risk
matrix is finally generated to score the application privacy risk. We evaluate
PRADroid on 2000 Android applications, and the experimental results show that
PRADroid can score reasonably and effectively.
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P027 DOSing Distributed Ledger Technology: IOTA
15:00-15:15 Mark A. Brady
University of Twente, Netherlands
Abstract-With advancements in connected technology, the number of ambitious
applications involving Internet of Things (IoT) are drastically growing. This
increases concerns related to security, scalability, and interoperability of IoT. As
the network of connected devices grows, decentralized technologies become
inevitable. Within this trend towards decentralization, distributed ledger
technology (for instance IOTA) will be a significant driving force. IOTA is an
innovative distributed ledger technology targeted towards low power devices,
where energy efficiency is a high priority. Public research regarding security
threats against IOTA especially denial-of-service (DoS) is essentially non-existent.
In this paper we focus on exploring a DoS attack against IOTA. The proposed
attack methodology takes advantage of the lack of fees along with the ability to
transfer minuscule amounts. By sending many conflicting transactions as it
results in a high number of re-attachments. The high number of re-attachments
threatens IOTA’s suitability for the IoT sphere. The implications of such attack, as
well as the future of this issue in terms of the planned removal of the centralized
coordinator are discussed.
P028 The Influence of Mobile Operation Systems on Mobile User Security Behavior
15:15-15:30 Martin J Butler
Stellenbosch University, South Africa
Abstract-Mobile security remains a concern for multiple stakeholders. Safe user
behavior is crucial key to avoid and mitigate mobile threats. The research used a
survey design to capture key constructs of mobile user threat avoidance behavior.
Analysis revealed that there is no significant difference between the two key
drivers of secure behavior, threat appraisal and coping appraisal, for Android and
iOS users. However, statistically significant differences in avoidance motivation
and avoidance behavior of users of the two operating systems were displayed.
This indicates that existing threat avoidance models may be insufficient to
comprehensively deal with factors that affect mobile user behavior. A newly
introduced variable, perceived security, shows a difference in the perceptions of
their level of protection among the users of the two operating systems, providing
a new direction for research into mobile security. these methods. Finally, the
developed models are reliable for not only the conceptual phase of future rural
road projects but also the related construction fields can be recovered about the
cost model creation.
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for track utilization charges. In this study, the costs of infrastructure construction
and maintenance on 5 route sections representing different traffic characteristics
were studied by using records from 5 years. It was found that the maintenance
cost of the telecommunication and signalling system ranges from 1.3 to 1.7
million baht per year per station. The average annual maintenance cost of the
railway track was 280,000 to 310,000 baht per track per kilometre. The traffic
density was found to be the main factor that influenced the maintenance cost.
P035 velink - A Blockchain-based Shared Mobility Platform for Private and Commercial
15:30-15:45 Vehicles utilizing ERC-721 Tokens
Dominic Pirker
Graz University of Technology, Austria
Abstract-Transportation of people and goods is important and crucial in the
context of smart cities. The trend in regard of people’s mobility is moving from
privately owned vehicles towards shared mobility. This trend is even stronger in
urban areas, where space for parking is limited, and the mobility is supported by
the public transport system, which lowers the need for private vehicles. Several
challenges and barriers of currently available solutions retard a massive growth
of this mobility option, such as the trust problem, data monopolism, or
intermediary costs. Decentralizing mobility management is a promising approach
to solve the current problems of the mobility market, allowing to move towards a
more usable internet of mobility and smart transportation. Leveraging blockchain
technology allows to cut intermediary costs, by utilizing smart contracts.
Important in this ecosystem is the proof of identity of participants in the
blockchain network. To proof the possession of the claimed identity, the private
key corresponding to the wallet address is utilized, and therefore essential to
protect. In this paper, a blockchain-based shared mobility platform is proposed
and a proof-of-concept is shown. First, current problems and stateof- the-art
systems are analyzed. Then, a decentralized concept is built based on ERC-721
tokens, implemented in a smart contract, and augmented with a Hardware
Security Module (HSM) to protect the confidential key material. Finally, the
system is evaluated and compared against state-of-the-art solutions.
P037 Lightweight Blockchain-based Platform for GDPR-Compliant Personal Data
15:45-16:00 Management
Cristòfol Daudén-Esmel
Universitat Rovira i Virgili, Spain
Abstract-New digital technologies generate large amounts of information. This
data is processed by Service Providers in order to improve and develop new
services or products, but also to fund themselves. However, processing these
personal data can result in the extraction of sensitive information.
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In consequence, it can lead to users’ privacy risk. To mitigate this risk, the EU
elaborated the GDPR. It forces Service Providers to have Data Subjects’ explicit
consent for collecting and processing their personal data. The problem is that
legislative text does not define how to transparently demonstrate that they
already have this consent. Also, most users do not know the rights they have
over their personal data, neither this regulation provides techniques for them
to be aware about what happens with it. In this paper, we propose a lightweight
blockchain-based GDPRcompliant personal data management platform. It
provides public access to immutable evidences that show the agreements
between the Data Subjects and Service Providers. The Service Providers can
demonstrate that they are fulfilling the regulation, and Data Subjects are aware
about what happens with their personal data and can manage it according to
their rights.
P036 Assessment of Remote Biometric Authentication Systems: Another Take on the
16:00-16:15 Quest to Replace Passwords
Daniel Köhler
Hasso Plattner Institure, Germany
Abstract—Passwords are often criticized due to being prone to misuses such as
bad password creation and management practices. Experts usually advise using
other forms of authentication. While there are plenty of alternative
authentication methods available, an overall assessment often proves to be
challenging. This is because of aspects such as differences in security
techniques, different applicability of the system, or varying difficulties of
implementation. To tackle the issue of comparing different authentication
systems, unified criteria are needed. Bonneau et al. proposed a framework for
comparing authentication schemes in their ”The Quest to Replace Passwords”.
We contribute to the quest by providing information and assessment on the
previously unassessed Remote Biometric Authentication Systems, thus
increasing the variety of analyzed systems. We achieve this by analyzing six
exemplary implementations. To enable proper evaluation of the details of that
new category of authentication schemes, this work furthermore expands the
framework by the two aspects Resilient-to-Biometric-Loss and
No-Trusted-Execution-Environments.
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P013 Detecting Android Malware Based on Dynamic Feature Sequence and Attention
16:15-16:30 Mechanism
Hanlin Long
Harbin Institute of Technology (Shenzhen), China
Abstract-The mechanism of running software on virtual machines partly
ensures the security of Android system. However, with all kinds of malicious
codes being developed, there has been a huge number of massive security
incidents caused by malware on Android. Malware has various code patterns,
but their behaviors are measurable. In this paper, a new method of detecting
Android malware by analyzing malware’s behaviors is proposed. The method is
characterized by the ability to mine the contextual relationships between
system calls and network activities. Besides, the method requires only a small
data set to achieve good classification performance.
We propose a set of methods for automatically collecting and organizing
dynamic features from Android application Based on the collected features,
deep neural network is used to classify software samples. We validate the
effectiveness of the proposed method on a set of 2210 applications obtained
from Androzoo. The experimental results demonstrate that the proposed
method has high detection accuracy against wild malware as compared with
other methods.
P034 A Study on Privacy Issues in Internet of Things (IoT)
16:30-16:45 Mayasarah Maslizan
Cybersecurity Malaysia, Malaysia
Abstract-Internet of Things (IoT) is an interconnected wireless network where
smart nodes (IoT devices) interact with each other in order to exchange data
through the communicating medium. Internet of Things (IoT) have rapidly
increased in popularity, demand and commercial availability within the past
several years. Various IoT applications generate a huge amount of data from
different types of resources, including smart cities, manufacturing industries,
health institutions, and governments. Due to the pervasive nature of IoT and
the limitless opportunities that this technology provides, security and privacy
becomes two key concerns for the users of these smart offerings. Most of the
privacy threats disclosing the private information to unwanted party and gives
rise to serious implications in various IoT application. Thus, this paper will
analyse existing literature related to various privacy threats in IoT, privacy
issues in different applications of IoT and present summary of the study.
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Virtual Session 2: Computer and Intelligent Computing
Chair: Dr. Chau Kien Tsong, Universiti Sains Malaysia, Malaysia
Time: 14:30-17:15, January 9
Online Room: A3 Link: https://zoom.com.cn/j/67812626226 ID: 678 1262 6226
P023 Forensic Analysis of Binary Structures of Video Files
14:30-14:45 Md Abir Hasan
University of Alaska Fairbanks, USA
Abstract-As technology advances, multimedia files such as videos are susceptible
to manipulation. This has led to serious concerns that images and videos are not
trustworthy evidence as the files can be manipulated easily. As a result, forensic
analysis of electronic multimedia files plays an important role in verifying the
authenticity of video files. This paper provides comprehensive details of a binary
file forensic analysis technique for different media file containers, mostly focused
on AVI and MP4/MOV container format. We also provide a considerable number
of details to identify a forgery among video files. We present pivotal parameters
which need to be tested to authenticate a video file. By analyzing the binary data
structures and metadata, we can detect the use of editing tools, verify the
purported source of a video file, and identify the true acquisition device model.
P001 Trend Analysis and Countermeasure Research of DDoS Attack under 5G Network
14:45-15:00 Haiou Huang
College of Computer Science and Technology, Jilin University, China
Abstract-DDoS has been terrorizing network operators since its birth in the late
20th century, and people are constantly researching new methods and techniques
to mitigate or solve DDoS attacks. However, with the network technology update
iteration, DDoS attacks also emerge in endlessly. When we exclaims the high
speed experience brought by 5G, we should not forget that the network is a
double-edged sword, and the security problem of 5G network is also not to be
underestimated. As traditional DDoS defenses continue to fail, researchers who
have grown more aggressive in recent years have seen some promising, low-cost
technologies emerge. This paper first analyzes the trend of DDoS attacks in the
past two years, then analyzes some DDoS defense mitigation schemes based on
SDN, NFV and MTD, and points out some challenges faced by using new
technologies to defend DDoS attacks.
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P0012 Vehicle Flow Detection Based on Improved Deep Structure and Deep Sort
15:00-15:15 Haobin Li
Sichuan University, China
Abstract-Real-time vehicle detection based traffic monitoring is a hot research
topic within the area of computer vision. In view of the problem of low detection
accuracy and low processing speed, a vehicle detection method based on
Improved Deep Structure is proposed in this study. Due to the characteristics of
highway vehicles with a fixed aspect ratio, k-means ++ clustering method is used
to select new anchor boxes to eliminate false targets at an early stage followed by
improved depth structure with deep sort. Experimental results demonstrated
that our proposed method on standard data set KITTI-UA achieved higher
precision and faster speed than the existing algorithms.
P007 A Scheme of Key Distribution in Smart Grid
15:15-15:30 Youwu Zhou
State Grid JiangXi Electric Power Research Institute, China
Abstract-Group communication for Smart Grid, because of its special
characteristics of large-scale nodes, open communication channel and high
packets loss rate, making secure group communication of Smart Grid face many
security threatens, so how to realize secure communication between groups and
how to establish secure session keys shared between nodes has been the focus of
Smart Grid. Aimed at the problem mentioned above, a group key distribution
scheme based on three hash chains is proposed for Smart Grid. This scheme
introduces a self-healing hash chain based on two-way hash chain, when a node is
revoked, the corresponding self-healing hash value will be replaced by a new
random value, so that revoked nodes can’t realize collusion attack with the newly
added node; This scheme also takes into account the problem of high packet loss
rate in Smart Grid, and realizes self-healing property. The security and
performance analysis shows that the scheme can meet the security requirements
of group communication for Smart Grid, and it has the characteristics of dynamic
revocation and resisting collusion. The scheme also reduces the storage overhead
and the communication load of node to a large extent, and can meet the
performance requirements of group communication for Smart Grid.
CSP 2021
ICMIP 2021
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