IEEE Consumer Electronics Magazine - January/February 2023 - 69

show that favorable performance in state-of-theart
stress monitoring yields high levels of consumer
satisfaction for security in vehicle comparison
to traditional frameworks.
The article titled " Cybersecurity Digital
Labels for Connected and Autonomous Vehicles, "
by Khan et al. proposes an idea of digital
labels for connected and autonomous vehicles
(CAVs) to increase the consumers trust and
awareness regarding the security level of their
vehicle. The authors also present an architecture
called Cybersecurity Box (CSBox) in which
digital labels display and inform the CAV consumers
and passengers about its cybersecurity
health status.
In " Contract-Theory-Based Secure Spectrum
Sharing Framework in Internet of Vehicles, " Zhu
et al. propose a contract-theory-based secure
spectrum sharing framework that adopts the
consortium blockchain to guarantee the security
of spectrum sharing and utilizes the practical
Byzantine fault-tolerant consensus algorithm to
achieve consensus in IoV. The authors design a
preference-based spectrum allocation algorithm
to maximize the total utility of secondary users.
In " Unsupervised Deep Learning Approach for
in-Vehicle Intrusion Detection System, " Narasimhan
et al. present an unsupervised deep learning
architecture for detecting intrusions on a Controller
Area Network (CAN) bus. The authors also
evaluate to show that the proposed method performs
better than the existing unsupervised
methods. Continuing the theme of preserving
security in Intelligence IoV is Man et al.'s article
titled " AI-Based Intrusion Detection for Intelligence
Internet of Vehicles. " This article first
briefly introduces the concept and features of
IoV, and then reviews the related research on AIbased
IoV intrusion detection systems. Further,
the authors present the open challenges and
future research directions.
We close this Special Section with the article
titled " Deep Learning-Based Intrusion Detection
System for Internet of Vehicles, " in which Ahmed
et al. present an IDS based on the deep learning
architecture to protect the CAN bus vehicles.
The authors conduct experiments using the CANintrusion-dataset
and train the VGG architecture
for the network attack patterns to detect attacks.
We are thankful to the authors for their excellent
contributions to this Special Section. We
would like to deliver our appreciation to all the
reviewers for dedicating their efforts in
reviewing the articles, and for their valuable
comments and suggestions that significantly
improve the quality of the articles. Also, we
would like to express our sincere gratitude to
the
earlier
Editor-in-Chief,
Prof.
Saraju P. Mohanty, and the present Editor-inChief,
Associate Professor Norbert Herencsar,
for providing this opportunity and their important
guidance throughout the process. We hope
that this Special Section will serve as a good reference
for the researchers and scientists from
academia and industry in the field of STP for the
IIoVT.
Uttam Ghosh is an associate professor with the
Computer Science and Data Science, School of
Applied Computational Sciences, Meharry Medical
College, Nashville, TN, USA. Ghosh received his Ph.D.
degree in electronics and electrical communication
engineering from the Indian Institute of Technology
Kharagpur. Contact himat ghosh.uttam@ieee.org.
Hellen Maziku is an assistant professor with the
Department of Computer Science and Engineering,
College of Information and Communication Technologies,
University of Dar Es Salaam, Dar Es Salaam,
Tanzania. Maziku received her Ph.D. degree in electrical
and computer engineering from Tennessee
State University, Nashville, TN, USA. Contact her at
maziku.hellen@udsm.ac.tz.
Hari Prabhat Gupta is an associate professor with
the Department of Computer Science and Engineering,
Indian Institute of Technology BHU, Varanasi, India.
Gupta received his Ph.D. degree in computer science
and engineering from the Indian Institute of Technology
Guwahati. Contact him at hariprabhat.cse@iitbhu.ac.in.
Biplab Sikdar is an associate professor with the
Department of Electrical and Computer Engineering,
National University of Singapore, Singapore. Sikdar
received his Ph.D. degree in electrical engineering
from Rensselaer Polytechnic Institute, Troy, NY,
USA. Contact him at elebisik@nus.edu.sg.
Joel J. P. C. Rodrigues is a professor with
the College of Computer Science and Technology,
China University of Petroleum (East China), Qingdao,
China, and also a senior researcher with Instituto de
Telecomunicac¸ ~oes, Aveiro, Portugal. Rodrigues
received his Ph.D. degree in computer science and
engineering from the University of Beira Interior (UBI),
Covilha˜ , Portugal. Contact him at joeljr@ieee.org.
January/February 2023
69
IEEE Consumer Electronics Magazine - January/February 2023

Table of Contents for the Digital Edition of IEEE Consumer Electronics Magazine - January/February 2023
