Applicability analysis of intrusion detection and prevention in automotive systems

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/219075
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Type: Examensarbete för masterexamen
Master Thesis
Title: Applicability analysis of intrusion detection and prevention in automotive systems
Authors: Fallstrand, Daniel
Lindström, Viktor
Abstract: The complexity of embedded automotive systems is rapidly increasing, both in terms of the number of ECUs (electronic control units), networks and the composite systems derived thereof. More electronic control in tandem with multiple novel interfaces for remote network communications with these control systems yield new security challenges. New networking capabilities might make the car a more viable target for malicious adversaries while more electronic control systems heighten the risks associated with a breach of security. Several methods and measures for improving automotive security have been proposed, some of them tested and others purely theoretical. Among these are several calls for the design and development of intrusion detection/prevention systems (IDPS) for automotive applications. We survey the state of the art in automotive security and attempt to establish a general model of the modern car. We proceed to evaluate the applicability of different intrusion detection and prevention methodologies in the context of embedded automotive systems. We conclude that the diversity of automotive architectures make it difficult to produce a model of a complete car that is detailed yet generalizable and sufficient. Hence, barring any major consolidation of high level architectural principles, any successful automotive IDPS will have to be based on common ground at a lower level, e.g. the CAN or FlexRay buses.
Keywords: Data- och informationsvetenskap;Informations- och kommunikationsteknik;Computer and Information Science;Information & Communication Technology
Issue Date: 2015
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/219075
Collection:Examensarbeten för masterexamen // Master Theses



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