Professor (Kit) Kai-Kit Wong
IEEE Fellow, IET Fellow
University College London,
UK
Biography: Kai-Kit Wong received the BEng, the MPhil, and the PhD degrees, all in Electrical and Electronic Engineering, from the Hong Kong University of Science and Technology (HKUST), Hong Kong, in 1996, 1998, and 2001, respectively. His PhD thesis was on multiuser MIMO wireless communications, supervised by Professor Ross Murch (Primary Supervisor) and Professor Khaled Ben Letaief (Co-Supervisor). After graduation, he joined the Department of Electrical and Electronic Engineering, the University of Hong Kong as a Research Assistant Professor, working closely with Professor Tung-Sang Ng. From July 2003 to December 2003, he visited the Wireless Communications Research Department of Lucent Technologies, Bell-Labs, Holmdel, NJ, U.S., to study the optimization in broadcast MIMO channels, under the supervision of Dr. G. J. Foschini and Dr. R. Valenzuela. After that, he then joined the Smart Antennas Research Group of Stanford University as Visiting Assistant Professor conducting research on overloaded MIMO signal processing, under the supervision of Professor Arogyaswami Paulraj. From 2005 to August 2006, he was with the Department of Engineering, the University of Hull, U.K., as Communications Lecturer. Since August 2006, he has been with University College London, first at Adastral Park Campus and at present the Department of Electronic and Electrical Engineering, where he is Professor of Wireless Communications.
Prof. Arumugam Nallanathan
IEEE Fellow, IET Fellow
Queen Mary University of London, UK
Biography: Arumugam
Nallanathan is Professor of Wireless
Communications and the founding head
of the Communication Systems
Research (CSR) group in the School
of Electronic Engineering and
Computer Science at Queen Mary
University of London since September
2017. He was with the Department of
Informatics at King’s College London
from December 2007 to August 2017,
where he was Professor of Wireless
Communications from April 2013 to
August 2017. He was an Assistant
Professor in the Department of
Electrical and Computer Engineering,
National University of Singapore
from August 2000 to December 2007.
His research interests include 6G
Wireless Networks, Internet of
Things (IoT) and Molecular
Communications. He published more
than 500 technical papers in
scientific journals and
international conferences. He is a
co-recipient of the Best Paper
Awards presented at the IEEE
International Conference on
Communications 2016 (ICC’2016), IEEE
Global Communications Conference
2017 (GLOBECOM’2017) and IEEE
Vehicular Technology Conference 2017
(VTC’2017). He is an Editor-at-Large
for IEEE Transactions on
Communications and a senior editor
for IEEE Wireless Communications
Letters. He was an Editor for IEEE
Transactions on Wireless
Communications (2006-2011), IEEE
Transactions on Vehicular Technology
(2006-2017), IEEE Signal Processing
Letters and a Guest Editor for IEEE
Journal on Selected Areas in
Communications (JSAC). He served as
the Chair for the Signal Processing
and Computing for Communications
(SPCC-TC) of IEEE Communications
Society and Technical Program Chair
and member of Technical Program
Committees in numerous IEEE
conferences. He received the IEEE
Communications Society SPCE
outstanding service award 2012 and
IEEE Communications Society RCC
outstanding service award 2014. He
has been selected as a Web of
Science (ISI) Highly Cited
Researcher in 2016. He is an IEEE
Fellow and IEEE Distinguished
Lecturer.
Prof. Chip-Hong Chang
IEEE Fellow
Nanyang Technological University, Singapore
Biography:
Chip
Hong Chang is a Professor at the
Nanyang Technological University
(NTU) of Singapore. He held
concurrent appointments at NTU as
Assistant Chair of Alumni of the
School of EEE from 2008 to 2014,
Deputy Director of the Center for
High Performance Embedded Systems
from 2000 to 2011, and Program
Director of the Center for
Integrated Circuits and Systems from
2003 to 2009. He was conferred the
Venus International Foundation 2022
Science and Technology Award (VISTA
2022) of Excellence in Hardware
Security. He has coedited six books,
and have published 13 book chapters,
more than 100 international journal
papers (>80 are in IEEE), around 200
refereed international conference
papers (mostly in IEEE), and have
delivered over 50 keynotes, tutorial
and invited seminars. His current
research interests include hardware
security, AI security, biometric
security, trustworthy sensing and
hardware accelerators for
post-quantum cryptography and edge
computational intelligence.
Dr. Chang currently serves as the
Senior Area Editor of IEEE
Transactions on Information Forensic
and Security, and Associate Editor
of the IEEE Transactions on Circuits
and Systems-I and IEEE Transactions
on Very Large Scale Integration
(VLSI) Systems. He also served as
the Associate Editor of the IEEE
Transactions on Information Forensic
and Security and IEEE Transactions
on Computer-Aided Design of
Integrated Circuits and Systems from
2016 to 2019, IEEE Access from 2013
to 2019, IEEE Transactions on
Circuits and Systems-I from 2010 to
2013, Integration, the VLSI Journal
from 2013 to 2015, Springer Journal
of Hardware and System Security from
2016 to 2020 and Microelectronics
Journal from 2014 to 2020. He served
in the organizing and technical
program committee of more than 70
international conferences (mostly
IEEE). He is an IEEE Fellow, IET
Fellow, AAIA Fellow and 2018-2019
Distinguished Lecturer of IEEE
Circuits and Systems Society.
Title: Trustworthy Sensing for Internet of Video Things
Abstract: Vision sensors are ubiquitous. It is predicted that by 2030, there will be around 13 billion cameras and 1 exabyte of data generated every day. With the rapid growth of the Internet of Video Things (IoVT), more smart applications are anticipated to be evolved around the intelligent integration of smart visual sensing and pervasive networking. The networking and accessibility of video things also pose new challenges in digital forensic, on-device data security and privacy protection in edge and fog computing. Provably secure cryptographic algorithms secure mainly the communication channels, which are inadequate against the emerging attacks that exploit the anonymity and implementation vulnerabilities of vision-enabled endpoints. Device identification based on cryptographic primitives requires the safekeeping of an on-device secret binary key. The latter is vulnerable to various kinds of invasive, semi-invasive and side channel attacks, particularly when the device is physically accessible. Existing trust credentials also provide no link between the data and its provenance. Physical Unclonable Function (PUF) is a key-less hardware security primitive. The secret is built intrinsically into the device structure by uncontrollable manufacturing process variations of nano-scale integrated circuits. PUFs offer promising new opportunities to assure end point security against the imminent risk of sensor and data analytic attacks. This talk will present solutions that derive non-repudiable provenance proof from the unification of PUF responses and biometrics or other data analytic based security parameters. The presented end-point authentication schemes of PUF-based user-device hash, data-device hash and event-driven hash show that PUF can be endowed with the capability to not only identifying the image sensor, but also assuring the integrity of the data that it generated or acquired, and authenticating the users who have privileged access to the device and its data.