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Prediction of DoS attacks in external communication for self-driving vehicles using a fuzzy petri net model

Alheeti, KMA and Gruebler, A and McDonald-Maier, KD and Fernando, A (2016) Prediction of DoS attacks in external communication for self-driving vehicles using a fuzzy petri net model. In: UNSPECIFIED, ? - ?.

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Abstract

© 2016 IEEE. In this paper we propose a security system to protect external communications for self-driving and semi self-driving cars. The proposed system can detect malicious vehicles in an urban mobility scenario. The anomaly detection system is based on fuzzy petri nets (FPN) to detect packet dropping attacks in vehicular ad hoc networks. The experimental results show the proposed FPN-IDS can successfully detect DoS attacks in external communication of self-driving vehicles.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2016 IEEE International Conference on Consumer Electronics, ICCE 2016
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 13 Dec 2016 21:23
Last Modified: 17 Aug 2017 17:22
URI: http://repository.essex.ac.uk/id/eprint/18129

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