Modern automobiles are controlled via networked controls. The majority of networks were built with minimal regard to security. Researchers expect to see a variety of attacks on the system recently, prompting them to share their data. This chapter discusses the weaknesses of the Controller Area Network (CAN) within the in-automobile communication protocol and several possible attacks that may be used against it. In addition, we present recent security detection schemes that have been offered in the current level of research to counteract the threats. The primary purpose of this study is to showcase an integrated technique known as an intrusion detection system (IDS). It has been a significant instrument in protecting information and networks systems for decades. Therefore, we have presented a detailed literature review examining existing IDS. For the investigation of IDS, we considered the following aspects: approaches used for detection, strategies used for deployment, attack mechanisms, and technical issues and challenges. We classify and compare current IDS approaches based on criteria such as real-time limitations, hardware types, CAN Bus behavior changes, attack mitigation types, and software/hardware used to validate these systems. Similarly, other scholars will be encouraged to pursue IDS research on the CAN bus system as a result of the current study.
Intrusion Detection System for Connected Automobiles Security
Recent Advancements in Connected Autonomous Vehicle Technologies
Automated and Electric Vehicle: Design, Informatics and Sustainability ; Kapitel : 14 ; 257-285
2022-10-29
29 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Intrusion detection system , In-automobile Security , IDS Attacks and Defense CAN bus Architecture and its Security , Anomaly Based Detection Engineering , Control, Robotics, Mechatronics , Mechanical Engineering , Automotive Engineering , Cyber-physical systems, IoT , Communications Engineering, Networks
Engineering Index Backfile | 1937
Security Airline eliminates worms with intrusion detection
British Library Online Contents | 2005
Engineering Index Backfile | 1902
|