WINDS: A Wavelet-based Intrusion Detection System for Controller Area Network (CAN)

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dc.contributor.authorBozdal, Mehmet
dc.contributor.authorSamie, Mohammad
dc.contributor.authorJennions, Ian K.
dc.date.accessioned2021-04-28T12:02:19Z
dc.date.available2021-04-28T12:02:19Z
dc.date.issued2021-04-13
dc.description.abstractVehicles are equipped with Electronic Control Units (ECUs) to increase their overall system functionality and connectivity. However, the rising connectivity exposes a defenseless internal Controller Area Network (CAN) to cyberattacks. An Intrusion Detection System (IDS) is a supervisory module, proposed for identifying CAN network malicious messages, without modifying legacy ECUs and causing high traffic overhead. The traditional IDS approaches rely on time and frequency thresholding, leading to high false alarm rates, whereas state-of-the-art solutions may suffer from vehicle dependency. This paper presents a wavelet-based approach to locating the behavior change in the CAN traffic by analyzing the CAN network’s transmission pattern. The proposed Wavelet-based Intrusion Detection System (WINDS) is tested on various attack scenarios, using real vehicle traffic from two independent research centers, while being expanded toward more comprehensive attack scenarios using synthetic attacks. The technique is evaluated and compared against the state-of-the-art solutions and the baseline frequency method. Experimental results show that WINDS offers a vehicle-independent solution applicable for various vehicles through a unique approach while generating low false alarms.en_UK
dc.identifier.citationBozdal M, Samie M, Jennions IK. (2021) WINDS: A Wavelet-based Intrusion Detection System for Controller Area Network (CAN). IEEE Access, Volume 9, pp. 58621-58633en_UK
dc.identifier.issn2169-3536
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2021.3073057
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16624
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectwavelet analysisen_UK
dc.subjectin-vehicle networken_UK
dc.subjectintrusion detectionen_UK
dc.subjectController area networken_UK
dc.titleWINDS: A Wavelet-based Intrusion Detection System for Controller Area Network (CAN)en_UK
dc.typeArticleen_UK

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