Development of a Novel Automotive Cybersecurity, Integrity Level, Framework

Abstract

As automated driver assistance functions are getting more and more popular, they will surly have a significant impact on our life especially considering security and the expected serious effects of malicious interventions. In light of the introduced aspects, the Test Field of Zalaegerszeg has started a research to evaluate the required professional and scientific framework to prevent transport systems from malicious external intervention. With regard to this aspect, the homologation system has been analyzed. In accordance with this the main objective of the article is to develop integrity level structure related to transport systems especially focusing on security issues. In this context the paper reconsiders the structure of ASIL to provide a proper framework focusing on the outstandingly important issues of cybersecurity. To develop a novel SIL framework a tailormade method is identified to define risk parameter values related to certain SIL categories. At the end of the research, the investigation has determined the acceptable hazard rates related to the S&SIL architecture.

A survey of new orientations in the field of vehicular cybersecurity, applying artificial intelligence based methods

“…The main concept of this threat modeling approach is to analyze each component of the whole system for susceptibility to threats and mitigation for all threats to each component in order to claim that the system is secure. 24,25 Accordingly, threat modeling aims to analyze:…”

“…• possible mitigation of the attacks to be detected and treated in case of each component, in order to estimate and improve the security level of the system. 24,25 Threat modeling is a base stone of cybersecurity, an indispensable activity that should be performed in application development and system evaluation processes. It helps developers to make proactive architectural decisions that reduce threats from the start.…”