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Creating a Security Enforcement Environment for a Vehicular Platform

Authors: Tsantekidis, Marinos; Abdelghani, Souleima; Hamad, Mohammad; Prevelakis, Vassilis;

Creating a Security Enforcement Environment for a Vehicular Platform

Abstract

The ever-increasing complexity of automotive platforms combined with the introduction of commercial off-the-shelf software components (e.g., for the entertainment system) creates multiple attack vectors that adversaries can leverage to attack the platform. Traditional analysis techniques have difficulty dealing with such complex environments, especially considering the need for low-cost solutions. Hence, we propose in this paper to turn the logic around, and instead of trying to discover all possible vulnerabilities, we monitor the execution of a software system to ensure that it does not deviate from its nominal profile. In this paper, we demonstrate a technique for creating a state model mapping the execution of a system, and then by observing its interaction with the runtime environment through its invocation of various library functions, we can ensure that off-nominal behavior can be detected and acted upon. The valuation results provide further evidence of the wrapper mechanism's effectiveness and highlight its potential to enhance security while minimizing the impact on performance.

This work is supported by the following European Union-funded projects: a) JCOP (Agreement No.: INEA/CE- F/ICT/A2020/2373266), b) CyberSecPro (Agreement No.: 101083594), c) SecOPERA (Agreement No.: 101070599) and d) CyberSecDome (Agreement No.: 101120779).

Keywords

security, Software Intrusion Detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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