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An intelligent intrusion detection scheme for self-driving vehicles based on magnetometer sensors

Alheeti, KMA and McDonald-Maier, K (2017) An intelligent intrusion detection scheme for self-driving vehicles based on magnetometer sensors. In: UNSPECIFIED, ? - ?.

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© 2016 School of Mechanical and Systems Engineering. Both safety and non-safety applications require authentication of messages and vehicles in cooperative vehicular ad hoc networks. Access control can prevent external attackers from achieving their goal of breaking or hacking important information from road side units and self-driving vehicles. However, internal attacks on vehicular systems and networks remain possible. A novel intelligent intrusion detection is proposed to secure the external communication system of self-driving and semi-self-driving vehicles. This system is based on the Integrated Circuit Metric technology, which has the ability to protect systems using features of the system itself. The detection system, called the ICMetric-IDS, is based on novel and unique features, which have been generated from bias values of magnetometer sensors as well as features which have been extracted from a trace file of simulated vehicle network traffic. Practical implementation and testing of the system demonstrate the efficiency in the detection of malicious behaviour.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2016 International Conference for Students on Applied Engineering, ICSAE 2016
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 02 Mar 2017 11:35
Last Modified: 04 Feb 2019 11:17

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