IEEE Consumer Electronics Magazine - January/February 2023 - 119

Figure 1. IoT technology in modern smart vehicles.
The rest of this article is organized as follows.
The " Related Work " Section reviews different
methods used for the detection and
classification of cyberattacks. The " Intrusion
Detection System for the IoV " Section explains
an IoV infrastructure and developed intrusion
detection system. The experimental results
and performance evaluation of the developed
system are illustrated in the " Experimental
Results " Section. Finally, the main conclusions
of this work with some possible future trends
are given in the " Conclusion and Future Work "
Section.
RELATED WORK
Intrusion detection has been considered as one
of the important topics by researchers in vehicle
network communication systems Tian et al.6 presented
a machine learning based system that utilized
gradient-boosting decision tree, suitable for
large data processing, and provided an effective
ongoing information security defense system.
Kang and Wang7 suggested a deep neural network
for malicious attacks classification, i.e., normal
and attack packets in CAN bus, Alshammari et al.8
presented a machine learning technique to classify
the malicious attacks in vehicular adhoc networks
by applying K-Nearest Neighbour (KNN) and Support
Vector Machine (SVM) classifier.
Verma et al.9 investigated various machine
learning classification algorithms and presented an
intrusion detection system that detects DoS
attacks. Li et al.10 provided solutions for CAN bus
anomaly detection by using regression learning.
Zhang etal.11 also studieddeep learning techniques
January/February 2023
Figure 2. General IoV infrastructure: IoV technology
provides a communication network environment.
Vehicles communicate with other objects or things
via Internet connections. The yellow lines show
communication links between base stations and
vehicles; the blue lines point V2V communication
links; the black lines are used for V2H; the green lines
demonstrate V2I communication links.
based on gradient descent with momentum and
adaptive gain for the intrusion detection system.
INTRUSION DETECTION SYSTEM FOR
THE IoV
An intrusion detection system is presented in
this work for the IoV. It is an immediate connection
of the portable Internet in vehicles and IoT.
IoV infrastructure or technology, demonstrated in
Figure 2 is referred to as effective portable communication
systems that allow communication
between public networks and vehicles applying
vehicle-to-sensor, vehicle-to-vehicle (V2V), vehicle-to-infrastructure
(V2I), and vehicle-to-human
(V2H) interactions. It helps us to collect and share
the information from/on vehicles, streets, roads,
highways, traffic control units, and their surroundings.
Furthermore, it highlights the sharing, processing,
computing, and safe delivery of data on
different information platforms.
The IoV supports providing a smart vehicle
communication environment for smart cities, but
it also suffers from security issues. As each vehicle
is equipped with many smart sensors and devices
that provide corresponding communication with
other objects, including GPS for geographical information,
radar for estimating the relevant signals
between vehicles, T-box's that controls data
119
IEEE Consumer Electronics Magazine - January/February 2023

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