Automotive Cybersecurity

  • Dietmar P. F. Möller
  • Roland E. Haas
Part of the Computer Communications and Networks book series (CCN)


Cybersecurity is the body of technologies, processes, and practices designed to protect computers, data, networks, and programs against intrusion, damage, or unauthorized access by cyberattacks. Therefore, this chapter begins, in Sect. 6.1, with an overview of automotive cybersecurity issues subdivided into ten subsections. It focuses on the scale and complexity of vehicles cyber and physical components’ vulnerability to a variety of security challenges, intrusions, threats, and malicious cyberattacks whose intent is to disrupt communication, steal sensitive information or records, and impair the functioning of the system, identifying the risk level as a function of likelihood and consequences. Hence, a solid theoretical foundation for cybersecurity of vehicle cyber-physical systems is introduced too, based on concepts of artificial intelligence, deep neural networks (DNN), and deep learning (DL), control theory, epidemic theory, game theory, graph theory, and the importance of cybersecurity w.r.t. different kinds of attack scenarios, for example, the spear phishing attack. Section 6.2 introduces information technology security in automotive cyber-physical systems (CPSs) and the measures taken to ensure that automotive cyber-physical systems remain secure while interacting with other digital systems connected to a controller area network (CAN) system bus. It also describes the characteristics of today’s attack taxonomies. As a logical next step, Sect. 6.3 focuses on hacking, automotive attack surfaces, and vulnerabilities and summarizes the anatomy of attack surface intrusion points in vehicles and the associated risks. Therefore, vehicle security depends on a variety of different methods and tools that systematically perform security testing, such as functional security testing, fuzzing, penetration testing, and others. Section 6.4 discusses intrusion detection, described as the detection of any set of actions that attempts to compromise the integrity, confidentiality, or availability of a system, as well as intrusion prevention, actions which attempt to prevent a detected intrusion from succeeding. Different detection methods for different kinds of intrusion types are described, including numerous static, dynamic, and hybrid methods for prevention. Section 6.5 discusses security and functional safety with regard to wireless mobile and sensor networks, platform security, cloud computing, and data security, as well as functional safety. Section 6.6 includes several examples of car hacking. Section 6.7 contains a comprehensive set of questions on automotive cybersecurity topics, and and finally followed by references and suggestions for further reading.

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Authors and Affiliations

  • Dietmar P. F. Möller
    • 1
  • Roland E. Haas
    • 2
  1. 1.Clausthal University of TechnologyClausthal-ZellerfeldGermany
  2. 2.QSO TechnologiesBangaloreIndia

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