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Detection, control and mitigation system for secure vehicular communication

Hidalgo, Carlos and Vaca, Myriam and Nowak, Mateusz P and Frölich, Piotr and Reed, Martin and Al-Naday, Mays and Mpatziakas, Asterios and Protogerou, Aikaterini and Drosou, Anastasios and Tzovaras, Dimitrios (2022) 'Detection, control and mitigation system for secure vehicular communication.' Vehicular Communications, 34. p. 100425. ISSN 2214-2096

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Abstract

The increase in the safety and privacy of automated vehicle drivers against hazardous cyber-attacks will lead to a considerable reduction in the number of global deaths and injuries. In this sense, the European Commission has focused attention on the security of communications in high-risk systems when receiving a cyber-attack such as automated vehicles. The project SerIoT comes up as an possible solution, providing a useful open and reference framework for real-time monitoring of the traffic exchanged through heterogeneous IoT platforms. This system is capable of recognize suspicious patterns, evaluate them and finally take mitigate actions. The paper presents a use case of the SerIoT project related to rerouting tests in vehicular communication. The goal is to ensure secure and reliable communication among Connected Intelligent Transportation Systems (C-ITS) components (vehicles, infrastructures, etc) using the SerIoT's system capabilities to detect and mitigate possible network attacks. Therefore, fleet management and smart intersection scenarios were chosen, where vehicles equipped with On Board Units (OBU) interact with each other and Road Side Units (RSU) to accomplish an optimal flow of traffic. These equipments use the SerIoT systems to deal with cyber-attacks such as Denial of Service (DoS). Tests have been validated in different scenarios under threats situations. It shows the great performance of the SerIoT system taking the corresponding actions to ensure a continuous and safety traffic flow.

Item Type: Article
Uncontrolled Keywords: C-ITS; Secure communications; SerIoT system; Fleet management; Smart intersection
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 10 Nov 2021 13:58
Last Modified: 27 Oct 2022 10:19
URI: http://repository.essex.ac.uk/id/eprint/31473

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