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Network tomography-based anomaly detection and localisation in centralised in-vehicle network
conference contribution
posted on 2023-06-10, 07:12 authored by Amani Mohammad A IbraheemAmani Mohammad A Ibraheem, Zhengguo ShengZhengguo Sheng, George ParisisGeorge Parisis, Daxin TianThe new automotive Electrical/Electronic(E/E) architecture is shifting towards a new design of in-vehicle network that is based on a centralised, cross-domain architecture. Such architecture implies communication between different domains of the vehicle network. From security standpoint, such cross traffic can easily be exploited by adversaries to gain access to different system domains, including the safety-critical ones, and perform attacks that may result in serious consequences. Accurate detection and localisation of these anomalies is important in such critical systems where false alarms cannot be tolerated. To this end, in this work, we propose an anomaly detection and localisation approach using network tomography-based monitoring solution. Compared to existing solutions, network tomography approaches require only limited number of probes and do not necessitate direct access to the vehicle’s networking devices. In this work, we evaluate three types of network tomography (binary tomography, delay tomography, and deep learning-based tomography) to detect and locate anomalies in in-vehicle networks. The results show that binary tomography can accurately detect and locate Denial-of-Service (DoS)attacks in centralised in-vehicle networks.
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Publication status
- Published
File Version
- Accepted version
Journal
International Conference on Omni-layer Intelligent Systems (COINS)Publisher
IEEEPublisher URL
External DOI
Event name
IEEE COINS: International Conference on Omni-layer Intelligent SystemsEvent location
Berlin, GermanyEvent type
conferenceEvent date
23-25 July 2023ISBN
9798350346473Department affiliated with
- Informatics Publications
Notes
©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.Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2023-05-31First Open Access (FOA) Date
2023-05-31First Compliant Deposit (FCD) Date
2023-05-31Usage metrics
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