Systematic Review on the Recent Trends of Cybersecurity in Automobile Industry
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Abstract
Description
The increasing integration of technology in automobiles has raised industry concerns about
cyber-security. This paper provides an overview of the most recent developments in
automobile cyber-security practices, pointing out the most important areas of cyber security
that need more research in the context of self-driving cars and the automobile industry.
Considering the different communities of cybersecurity mapped out by previous
researchers, we explored each of these communities with respect to automobiles. The
community of cybersecurity is subjected to intrusion detection, cryptography, sensor
networks, information hiding, intrusion detection, biometrics, authentication, usable security,
and access control. From the systematic review done, we found out the bulk of security
research in the automobile industry is geared towards intrusion detection. The use of chaosbased
picture encryption, visual cryptography, biometric fingerprinting, keystroke dynamics,
background subtraction, gait identification, provable security, provable data possession,
block ciphers, differential power analysis, hardware trojans, physical unclonable functions,
etc., although used in the industry, has yet to be explored with respect to the security of
vehicles, their networks, and the automobile industry. The results show that some of the
different communities of cybersecurity towards automobiles are still in their infancy with
opportunities for novel work.
Keywords
QA75 Electronic computers. Computer science