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Temporal-Based Intrusion Detection for IoV

Hamad, Mohammad and Haj Hammadeh, Zain Alabedin and Saidi, Selma and Prevelakis, Vassilis (2020) Temporal-Based Intrusion Detection for IoV. it - Information Technology, 62 (5-6), pp. 227-239. de Gruyter. doi: 10.1515/itit-2020-0009. ISSN 1611-2776.

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Official URL: https://www.degruyter.com/view/journals/itit/62/5-6/article-p227.xml?tab_body=abstract

Abstract

The Internet of Vehicle (IoV) is an extension of Vehicle-to-Vehicle (V2V) communication that can improve vehicles’ fully autonomous driving capabilities. However, these communications are vulnerable to many attacks. Therefore, it is critical to provide run-time mechanisms to detect malware and stop the attackers before they manage to gain a foothold in the system. Anomaly-based detection techniques are convenient and capable of detecting off-nominal behavior by the component caused by zero-day attacks. One significant critical aspect when using anomaly-based techniques is ensuring the correct definition of the observed component’s normal behavior. In this paper, we propose using the task’s temporal specification as a baseline to define its normal behavior and identify temporal thresholds that give the system the ability to predict malicious tasks. By applying our solution on one use-case, we got temporal thresholds 20–40 % less than the one usually used to alarm the system about security violations. Using our boundaries ensures the early detection of off-nominal temporal behavior and provides the system with a sufficient amount of time to initiate recovery actions.

Item URL in elib:https://elib.dlr.de/136927/
Document Type:Article
Title:Temporal-Based Intrusion Detection for IoV
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hamad, Mohammadmohammad.hamad (at) tum.deUNSPECIFIED
Haj Hammadeh, Zain AlabedinZain.HajHammadeh (at) dlr.dehttps://orcid.org/0000-0001-7539-2393
Saidi, Selmaselma.saidi (at) tu-dortmund.deUNSPECIFIED
Prevelakis, Vassilisprevelakis (at) ida.ing.tubs.deUNSPECIFIED
Date:5 December 2020
Journal or Publication Title:it - Information Technology
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:62
DOI :10.1515/itit-2020-0009
Page Range:pp. 227-239
Publisher:de Gruyter
ISSN:1611-2776
Status:Published
Keywords:Real-time systems; Security; Safety; Intrusion Detection
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Vorhaben SISTEC (old)
Location: Braunschweig
Institutes and Institutions:Institute for Software Technology > Software for Space Systems and Interactive Visualisation
Institute for Software Technology
Deposited By: Haj Hammadeh, Zain Alabedin
Deposited On:13 Jan 2021 14:23
Last Modified:22 Dec 2021 10:39

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