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Open source model and simulator for real-time performance analysis of automotive network security
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Mundhenk, Philipp, Mrowca, Artur, Steinhorst, Sebastian, Lukasiewycz, Martin, Fahmy, Suhaib A. and Chakraborty, Samarjit (2016) Open source model and simulator for real-time performance analysis of automotive network security. ACM Sigbed Review, 13 (3). pp. 8-13. doi:10.1145/2983185.2983186
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Official URL: http://dx.doi.org/10.1145/2983185.2983186
Abstract
With the increasing interconnection of vehicles, security challenges have moved into focus. Attacks on in-vehicle networks can cause accidents resulting in financial damages and even loss of life. The impact of an attack can be mitigated by secure internal vehicle networks, employing authentication of ECUs and authorization of messages. However, quantifying the real-time performance of additional security measures is difficult due to the high number of nodes and messages. In this paper, we present an open source model and simulator for the evaluation of the real-time performance of automotive networks implementing security measures. Applying parameters from hardware measurements, we evaluate our model and simulator with realistic test cases and a case study. We further present application perspectives on how the open source simulator can be used in different domains for the analysis of automotive network architectures.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
| Divisions: | Faculty of Science > Engineering | ||||
| Library of Congress Subject Headings (LCSH): | Computer security, Electronic control | ||||
| Journal or Publication Title: | ACM Sigbed Review | ||||
| Publisher: | Association for Computing Machinery | ||||
| ISSN: | 1551-3688 | ||||
| Official Date: | 12 March 2016 | ||||
| Dates: |
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| Date of first compliant deposit: | 9 August 2016 | ||||
| Volume: | 13 | ||||
| Number: | 3 | ||||
| Number of Pages: | 6 | ||||
| Page Range: | pp. 8-13 | ||||
| DOI: | 10.1145/2983185.2983186 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Funder: | National Research Foundation, Singapore |
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