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Modelling Safety of Connected and Autonomous Vehicles (CAVs) under Cyber-Attacks on Perception and Safety Monitors

Kosari, A., Popov, P. ORCID: 0000-0002-3434-5272 & Roy, R. ORCID: 0000-0001-5491-7437 (2023). Modelling Safety of Connected and Autonomous Vehicles (CAVs) under Cyber-Attacks on Perception and Safety Monitors. In: 2022 12th International Conference on Dependable Systems, Services and Technologies (DESSERT). 2022 12th International Conference on Dependable Systems, Services and Technologies (DESSERT), 9-11 Dec 2022, Athens, Greece. doi: 10.1109/dessert58054.2022.10018781

Abstract

CAVs have recently attracted interest both for researchers and automotive industry. Among the various issues with the design of Autonomous vehicles (AV) including CAV, safety and security assurance as well as dealing effectively with the trade-off among these have been recognized as very important. The debate regarding what level of safety and security of (C)AV is socially acceptable is very active at the moment [1], [2]. In this paper, we present a probabilistic modelling approach to dealing with the problem of safety assessment of CAV under cyber-attacks, and demonstrate its plausibility and usefulness in ranking various modes of vulnerability of the essential components of (C) AV such as the AV perception system and safety monitors.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: Digital CAV, Road hazards, Cyber-attacks, Safety, Probabilisitic modelling, Perception system, Safety monitors
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology
School of Science & Technology > Computer Science
SWORD Depositor:
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