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2020 | OriginalPaper | Buchkapitel

3. Security and Privacy in Intelligent Autonomous Vehicles

verfasst von : Shiho Kim, Rakesh Shrestha

Erschienen in: Automotive Cyber Security

Verlag: Springer Singapore

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Abstract

In this chapter, we mostly focus on cybersecurity and privacy in intelligent and autonomous vehicles (IAV). This chapter starts with the basics of cryptography and then proceeds to different types of advanced security and encryption schemes that can be used in autonomous vehicles. The cyber security in intelligent and autonomous vehicles can be a combination of physical security, information security, security elements, policies, standards, legislation, and risk mitigation strategies. We introduced the updated cybersecurity framework that provides a specific categorization and structural framework for institutions to describe their current cybersecurity position, state for cybersecurity, identify and prioritize security improvements, assess security progress, and plan concerning cybersecurity risks. Then, we discuss about the five key technological cybersecurities to protect any company, organization, and IAV against a cyber-attacks. A threat modeling method (TMM) is also required to investigate the potential threats so that the IAV system is fully secured from unknown attacks. The TMM is used to defend the cyber-physical system from attackers and detect the threats before they create severe damage. Some of the examples of TMM are STRIDE, PASTA, VAST, etc. The vulnerability is the weak point in the scheme that is misused by the malicious attacker in the form of attacks for their own advantages. We discuss some of the taxonomy that can be found in vehicular system such as autonomous vehicle vulnerability taxonomy, defense taxonomy, and privacy taxonomy.

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Metadaten
Titel
Security and Privacy in Intelligent Autonomous Vehicles
verfasst von
Shiho Kim
Rakesh Shrestha
Copyright-Jahr
2020
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-8053-6_3

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