IEEE Consumer Electronics Magazine - November/December 2022 - 92

Security, Trust and Privacy Solutions for Intelligent Internet of Vehicular Things
8. G. Vaseer, G. Ghai, and D. Ghai, " Novel intrusion
detection and prevention for mobile ad hoc
networks: A single-and multiattack case study, "
IEEE Consum. Electron. Mag., vol. 8, no. 3,
pp. 35-39, May 2019.
9. S. Sharma and A. Kaul, " A survey on intrusion
detection systems and honeypot based proactive
security mechanisms in VANETs and VANET cloud, "
Veh. Commun., vol. 12, pp. 138-164, Jan.-Mar.
2018.
10. I. Butun, S. D. Morgera, and R. Sankar, " A survey of
intrusion detection systems in wireless sensor
networks, " IEEECommun. Surv. Tut., vol. 16, no. 1,
pp. 266-282, Jan.-Mar. 2013.
11. R. A. R. Ashfaq, X.-Z. Wang, J. Z. Huang, H. Abbas,
and Y.-L. He, " Fuzziness based semi-supervised
learning approach for intrusion detection system, " Inf.
Sci., vol. 378, pp. 484-497, 2017.
12. K. Sujatha, V. Dharmar, and R. Bhuvaneswaran,
" Design of genetic algorithm based IDS for MANET, " in
Proc. Int. Conf. RecentTrends Inf. Technol., 2012,
pp. 28-33.
13. S. Gupta, R. Garg, N. Gupta, W. S. Alnumay, U.
Ghosh, and P. K. Sharma, " Energy-efficient dynamic
homomorphic security scheme for fog computing in
IoT networks, " J. Inf. Secur. Appl., vol. 58, 2021,
Art. no. 102768.
14. R. Arunkumar and A. Annalakshmi, " A recent analysis
of intrusion detection and prevention system for
protecting range of attack using data gathering
technique in MANET, " Int. J. Comput. Appl., vol. 85,
no. 8, 2014.
15. N. Bimeyer, C. Stresing, and K. M. Bayarou, " Intrusion
detection in VANETS through verification of vehicle
movement data, " in Proc. IEEEVeh. Netw. Conf., 2010,
pp. 166-173.
16. L. Tan, K. Yu, F. Ming, X. Chen, and G. Srivastava,
" Secure and resilient artificial intelligence of things:
A honeynet approach for threat detection and
situational awareness, " IEEEConsum. Electron. Mag.,
to be published.
Saurabh Singh He currently working as an Assistant
Professor with Dongguk University, Seoul, South
Korea. Singh received the Ph.D. degree from Jeonbuk
National University, Jeonju, South Korea. He was
a Postdoctoral Researcher with Kunsan National
University, Gunsan, South Korea. Contact him at
saurabh89@dongguk.edu.
Sparsh Sharma is currently an Assistant Professor
with the Department of Computer Science and Engineering,
National Institute of Technology, Srinagar,
J&K, India. Sharma received the Ph.D. degree from
Shri Mata Vaishno Devi University, Katra, India.
She is the corresponding author. Contact him at
sparsharma@outlook.com.
Surbhi Sharma received the M.Tech. degree from
Shri Mata VaishnoDevi University (SMVD), Katra, India.
Sharma is currently working toward the Ph.D. degree
fromSMVD. Contact her at surbhissjune@gmail.com.
Osama Alfarraj is currently an Associate Professor
of computer sciences with King Saudi University,
Riyadh, Saudi Arabia. Alfarraj received the Master's
and Ph.D. degrees in information and communication
technology from Griffith University, Brisbane,
Australia, in 2008 and 2013, respectively. Contact
him at oalfarraj@ksu.edu.sa.
Byungun Yoon is currently a Professor with the
Department of Industrial and Systems Engineering,
Dongguk University, Seoul, South Korea. His theme
of study has involved blockchain technology, patent
analysis. He is the Senior Member of IEEE. He is the
corresponding author of this article. Contact him at
postman3@dongguk.edu.
Amr Tolba is currently a Professor of Computer Science
with King Saud University, Riyadh, Saudi Arabia.
Tolba received the M.Sc. and Ph.D. degrees from the
Department of Mathematics and Computer Science,
Faculty of Science, Menoufia University, Menoufia,
Egypt, in 2002 and 2006 respectively. He is a Senior
Member of IEEE. Contact him at atolba@ksu.edu.sa.
92
IEEE Consumer Electronics Magazine
IEEE Consumer Electronics Magazine - November/December 2022

Table of Contents for the Digital Edition of IEEE Consumer Electronics Magazine - November/December 2022
