Prof. Gerhard Fohler
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Designing In-Vehicle Host Intrusion Detection System

Category: Inproceedings
Author(s)Marine Kadar, Sergey Tverdyshev, Gerhard Fohler
Source4th International Workshop on Security and Dependability of Critical Embedded Real-Time Systems.
Date Jul 2019


Host Intrusion Detection System (HIDS) is today a popular security solution, as it can detect both known and 0-day attacks. In literature, HIDS based on system call monitoring with Machine Learning notably show promising results on generic computers. However to our knowledge, this technology has yet not been applied to protect mixed-criticality embedded systems. On one hand, embedded mixed-criticality systems potentially imply criticality requirements such as software with hard real-time deadlines: e.g. a car dashboard software which needs refresh. On the other hand, they can run open non-critical software, which represent strategical entry points for an in- truder: e.g. an Android IVI guest OS. Thus in such systems, intrusion detection is necessary to prevent security threats. Hence, we aim to provide a methodology to design HIDS for embedded mixed-criticality sys- tems. Our objective is to adapt system call monitoring with machine learning for our specific deployment context, as this solution has already shown promising results in protecting generic computers. We plan to validate our solution by implementing a proof of concept on PikeOS[pik], SYSGO’s commercial real-time hypervisor.


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