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Chaocan Xiang is an Associate Professor at the College of Computer
Science, Chongqing University, China. He received his bachelor’s
degree and Ph.D. from Nanjing Institute of Communication
Engineering, China, in 2009 and 2014, respectively. He subsequently
studied at the University of Michigan-Ann Arbor in 2017 (supervised
by Prof. Kang G. Shin, IEEE Life Fellow, ACM Fellow). His research
interests mainly include UAVs/vehicle-based crowdsensing, urban
computing, Internet of Things, Artificial Intelligence, and big
data. He has published more than 50 papers, including over 20 in
leading venues such as IEEE Transactions on Mobile Computing, IEEE
Transactions on Parallel and Distributed Systems, IEEE INFOCOM, and
ACM Ubicomp. He has received a best paper award and a best poster
award at two international conferences. Panlong Yang is a full
Professor at the University of Science and Technology of China. He
has been supported by the NSF Jiangsu through a Distinguished Young
Scholarship and was honored as a CCF Distinguished Lecturer
in 2015. He has published over 150 papers, including 40 in CCF
Class A. Since 2012, he has supervised 14 master’s and Ph.D.
candidates, including two excellent dissertation winners in Jiangsu
Province and the PLA education system. He has been supported by the
National Key Development Project and NSFC projects. He has
nominated by ACM MobiCom 2009 for the best demo honored mention
awards, and won best paper awards at the IEEE MSN and MASS. He has
served as general chair of BigCom and TPC chair of IEEE MSN. In
addition, he has served as a TPC member of INFOCOM (CCF Class A)
and an associate editor of the Journal of Communication of China.
He is a Senior Member of the IEEE (2019). Fu Xiao received his
Ph.D. in Computer Science and Technology from the Nanjing
University of Science and Technology, Nanjing, China, in 2007. He
is currently a Professor and Dean of the School of Computer,
Nanjing University of Posts and Telecommunications. He has authored
more than 60 papers in respected conference proceedings and
journals, including IEEE INFOCOM, ACM Mobihoc, IEEE JASC, IEEE/ACM
ToN, IEEE TPDS, IEEE TMC, etc. His main research interest is in the
Internet of Things. He is a member of the IEEE Computer Society and
the Association for Computing Machinery. Xiaochen Fan received his
B.S. degree in Computer Science from Beijing Institute of
Technology, Beijing, China, in 2013, and his Ph.D. from the
University of Technology Sydney, NSW, Australia, in 2021. His
research interests include mobile/pervasive computing, deep
learning, and Internet of Things (IoT). He has published over 25
peer-reviewed papers in high-quality journals and IEEE/ACM
international conference proceedings.
This timely book provides broad coverage of security and privacy
issues in the macro and micro perspective. In macroperspective, the
system and algorithm fundamentals of next-generation wireless
networks are discussed. In micro-perspective, this book focuses on
the key secure and privacy techniques in different emerging
networks from the interconnection view of human and cyber-physical
world. This book includes 7 chapters from prominent international
researchers working in this subject area. This book serves as a
useful reference for researchers, graduate students, and
practitioners seeking solutions to wireless security and privacy
related issues Recent advances in wireless communication
technologies have enabled the large-scale deployment of
next-generation wireless networks, and many other wireless
applications are emerging. The next generation of mobile networks
continues to transform the way people communicate and access
information. As a matter of fact, next-generation emerging networks
are exploiting their numerous applications in both military and
civil fields. For most applications, it is important to guarantee
high security of the deployed network in order to defend against
attacks from adversaries, as well as the privacy intrusion. The key
target in the development of next-generation wireless networks is
to promote the integration of the human, cyber, and physical
worlds. Previous work in Cyber Physical Systems (CPS) considered
the connection between the cyber world and the physical world. In
the recent studies, human involvement brings new channels and
initiatives in this interconnection. In this integration process,
security and privacy are critical issues to many wireless network
applications, and it is a paramount concern for the growth of
next-generation wireless networks. This is due to the open nature
of wireless communication and the involvement of humans. New
opportunities for tackling these security and privacy issues in
next-generation wireless networks will be achieved by leveraging
the properties of interaction among human, computers and things.
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