FIVADMI: A Framework for In-Vehicle Anomaly Detection by Monitoring and Isolation

Mahbub, Khaled and Nehme, Antonio and Patwary, Mohammad and Lacoste, Mark and Allio, Sylvain (2024) FIVADMI: A Framework for In-Vehicle Anomaly Detection by Monitoring and Isolation. Future Internet, 16 (8). ISSN 1999-5903

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Abstract

Self-driving vehicles have attracted significant attention in the automotive industry that is heavi-ly investing to reach the level of reliability needed from these safety critical systems. Security of in-vehicle communications is mandatory to achieve this goal. Most of the existing research to de-tect anomalies for in-vehicle communication does not take into account the low processing power of the in-vehicle Network and ECUs (Electronic Control Units). Also, these approaches do not consider system level isolation challenges such as side-channel vulnerabilities, that may arise due to adoption of new technologies in the automotive domain. This paper introduces and discusses the design of a framework to detect anomalies in in-vehicle communications, including side channel attacks. The proposed framework supports real time monitoring of data exchanges among the components of in-vehicle communication network and ensures the isolation of the components in in-vehicle network by deploying them in Trusted Execution Environments (TEEs). The framework is designed based on the AUTOSAR open standard for automotive software ar-chitecture and framework. The paper also discusses the implementation and evaluation of the proposed framework.

Item Type:	Article
Identification Number:	10.3390/fi16080288
Dates:	Date Event 2 August 2024 Accepted 8 August 2024 Published Online
Uncontrolled Keywords:	AUTOSAR, ECU, Isolation, Resilience, System Security
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Architecture, Built Environment, Computing and Engineering > Computer Science
Depositing User:	Gemma Tonks
Date Deposited:	06 Aug 2024 14:29
Last Modified:	03 Sep 2024 15:34
URI:	https://www.open-access.bcu.ac.uk/id/eprint/15687

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