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P269 - Automotive - Safety & Security 2017

https://dl.gi.de/handle/20.500.12116/21100
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Auflistung P269 - Automotive - Safety & Security 2017 nach Schlagwort "automotive"

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  • Konferenzbeitrag
    Hacking Trucks - Cybersecurity Risks and Effective Cybersecurity Protection for Heavy Duty Vehicles
    (Automotive - Safety & Security 2017 - Sicherheit und Zuverlässigkeit für automobile Informationstechnik, 2017) Wolf, Marko; Lambert, Robert
    Similar to passenger cars, heavy-duty vehicles, such as commercial trucks and buses, are becoming increasingly software-driven, interconnected and semi-automated, and hence are also becoming increasingly susceptible to cybersecurity attacks. This article will identify and evaluate these cybersecurity threats and risks affecting the monetary business operation, reliability, and safety of heavy-duty vehicles, comparing them with similar cybersecurity risks for typical passenger vehicles. Based on this overall cybersecurity threat and risk analysis, the article will then present and explain our holistic and multi-layer protection approach to reduce such cybersecurity risks for heavy-duty vehicles.
  • Konferenzbeitrag
    A Testing Framework Architecture for Automotive Intrusion Detection Systems
    (Automotive - Safety & Security 2017 - Sicherheit und Zuverlässigkeit für automobile Informationstechnik, 2017) Corbett, Christopher; Basic, Tobias; Lukaseder, Thomas; Kargl, Frank
    Vehicles are the target of a rising number of hacking attacks. The integration of in-vehicle intrusion detection systems is a common approach to increase the overall system security. However, testing and evaluating these systems is difficult due to the lack of tools to generate realistic benign and malicious workloads as well as sharing these workloads with other researchers. Currently, test- ing tools are predominantly intended for Network Intrusion Detection System (NIDS) in company or industrial networks where their usefulness became apparent. Yet, in the automotive domain, development of testing tools is still in the early stages. Existing non-commercial automotive tools only focus on one specific bus technology each. However, in-vehicle communication exceeds bus technology boundaries and a testing tool must cover multiple technologies. We propose a framework architecture concept for in-vehicle NIDS testing and evaluation to enable the creation of realistic network traffic and attacks in consideration of automotive specific challenges. Our concept provides the opportunity to share data without additional anonymization effort therefore improving cooperation and reproducibility of testing results.