Classification, Impact, and Mitigation Strategies of Attacks in Automotive Trust Management Systems
Pages 61 - 75
Abstract
With the advent of connected vehicles, which provide many new comfort functions, the attack surface increased as well. Widespread "hard security" mechanisms are used to secure the vehicle and its infrastructure, but they cannot mitigate all threats, especially if inside attackers are considered. "Soft security" mechanisms, like trust and reputation systems, can help to close the attack surface further. However, such systems add complexity and can also lead to further vulnerabilities. To use such mechanisms securely, this work analyzes attacks targeting trust management systems in the automotive domain. For this purpose, a literature review was conducted, and the extracted attacks were characterized and divided into several clusters, introducing a new nomenclature of attacks against trust management for vehicles. We argue that four main categories of attacks exist. They are distinguished by their target component: communication channel, trust management layer, or application. As a fourth category, we see attacks that are enabled by the use of trust management systems. The outcome of this analysis was used to create an adversary model based on detected attack vectors and to define abstract reference attackers. These can be used to evaluate the resilience of automotive trust management systems against the analyzed attacks. Mitigation strategies against the adversary's capabilities are further presented to avoid vulnerabilities in the design of automotive trust management systems.
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- Classification, Impact, and Mitigation Strategies of Attacks in Automotive Trust Management Systems
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Special issue: Security in grid and distributed systemsReputation systems have been popular in estimating the trustworthiness and predicting the future behavior of nodes in a large-scale distributed system where nodes may transact with one another without prior knowledge or experience. One of the ...
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Information
Published In
November 2024
84 pages
ISBN:9798400712326
DOI:10.1145/3689936
- General Chair:
- Mario Fritz,
- Program Chairs:
- Christoph Krauß,
- Hans-Joachim Hof
Copyright © 2023 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 November 2024
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- Research-article
Funding Sources
- German Federal Ministry of Education and Research
Conference
CCS '24
Sponsor:
CCS '24: ACM SIGSAC Conference on Computer and Communications Security
October 14 - 18, 2024
UT, Salt Lake City, USA
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