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ThinkMind // International Journal On Advances in Security, volume 11, numbers 1 and 2, 2018 // View article sec_v11_n12_2018_4


Security Hardening of Automotive Networks Through the Implementation of Attribute-Based Plausibility Checks

Authors:
Marcel Rumez
Jürgen Dürrwang
Johannes Braun
Reiner Kriesten

Keywords: Automotive Safety and Security; Vehicular Attacks; Plausibility Checks; Vehicle Networks

Abstract:
Future vehicles will be more and more part of the Internet of Things (IoT), providing enhanced functionalities such as autonomous driving, cloud-based functions or car-sharing features to their customers. However, this change has fundamental consequences for automotive networks and their safeguarding against unauthorized access. Based on our own research results regarding vulnerabilities in a Pyrotechnic Control Unit (PCU) and upcoming changes in automotive network architecture, we combined plausibility checks with an access control mechanism to restrict network requests in different vehicle states to prevent the exploitation of safety-critical functions. In this publication, we present our enhanced plausibility checks, which are based on vehicle attributes and trustworthy sensors. To do so, we propose moving the checks to powerful domain controllers in future automotive network architectures. Moreover, we adapt a vulnerability scoring metric from traditional Information Technology (IT) to determine the originality of the sensor values. As a result, we are hardening the security against unauthorized access.

Pages: 52 to 59

Copyright: Copyright (c) to authors, 2018. Used with permission.

Publication date: June 30, 2018

Published in: journal

ISSN: 1942-2636

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