University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A taxonomy and survey of cyber-physical intrusion detection approaches for vehicles

Loukas, George, Karapistoli, Eirini, Panaousis, Emmanouil, Sarigiannidis, Panagiotis, Bezemskij, Anatolij and Vuong, Tuan (2018) A taxonomy and survey of cyber-physical intrusion detection approaches for vehicles Ad Hoc Networks, 84. pp. 124-147.

A taxonomy and survey of cyber-physical intrusion detection approaches for vehicles.pdf - Accepted version Manuscript

Download (1MB) | Preview


With the growing threat of cyber and cyber-physical attacks against automobiles, drones, ships, driverless pods and other vehicles, there is also a growing need for intrusion detection approaches that can facilitate defence against such threats. Vehicles tend to have limited processing resources and are energy-constrained. So, any security provision needs to abide by these limitations. At the same time, attacks against vehicles are very rare, often making knowledge-based intrusion detection systems less practical than behaviour-based ones, which is the reverse of what is seen in conventional computing systems. Furthermore, vehicle design and implementation can differ wildly between different types or different manufacturers, which can lead to intrusion detection designs that are vehicle-specific. Equally importantly, vehicles are practically defined by their ability to move, autonomously or not. Movement, as well as other physical manifestations of their operation may allow cyber security breaches to lead to physical damage, but can also be an opportunity for detection. For example, physical sensing can contribute to more accurate or more rapid intrusion detection through observation and analysis of physical manifestations of a security breach. This paper presents a classification and survey of intrusion detection systems designed and evaluated specifically on vehicles and networks of vehicles. Its aim is to help identify existing techniques that can be adopted in the industry, along with their advantages and disadvantages, as well as to identify gaps in the literature, which are attractive and highly meaningful areas of future research.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computer Science
Authors :
Loukas, George
Karapistoli, Eirini
Sarigiannidis, Panagiotis
Bezemskij, Anatolij
Vuong, Tuan
Date : 2 October 2018
DOI : 10.1016/j.adhoc.2018.10.002
Copyright Disclaimer : © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Uncontrolled Keywords : Cyber-physical systems; Intrusion detection; Vehicular networks; VANET; Cyber security; Aircraft; Unmanned aerial vehicles; Robotic land vehicles; Automobiles; Driverless pods
Depositing User : Clive Harris
Date Deposited : 10 Oct 2018 07:56
Last Modified : 03 Oct 2019 02:08

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800