In the last few years, “vehicular‐ad‐hoc‐networks” (VANETs) have become a popular study topic. VANETs are attracting attention from academia and business people both because of their unique properties, including dynamic frequency topology and predictable mobility. A one‐of‐a‐kind design for a benchmarking framework system for self‐driving automobiles vehicles, with an emphasis on its stability or protection, is suggested in this chapter. It is “computer vision” and “networking technology” to make linked autonomous cars more automated. These systems employ sensors to offer data and assessments about their environment. Other major points covered in this chapter are about reducing autonomous vulnerability attacks. This might potentially drive a variety of cyber risks and attacks, including traffic sign spoofing, GPS spoofing, and distributed denial of service assaults on Vehicular Ad‐hoc networks. This chapter examines a variety of security issues, vulnerabilities, exploitation techniques, and their negative impact on connected autonomous vehicles, in addition to proposing a fresh benchmarking framework centered on physiological and communication‐based assaults to analyses and asset the cutting‐edge technology being utilized in cyber‐attacks.
A Technique for Monitoring Cyber‐Attacks on Self‐Driving Automobiles‐Based VANET
Autonomous Vehicles Volume 2 ; 317-333
2022-12-19
17 pages
Article/Chapter (Book)
Electronic Resource
English
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