2021 • In Hawlader, Faisal; Boualouache, Abdelwahab; Faye, Sébastienet al. (Eds.) The 2021 IEEE International Conference on Communications (the 4th Workshop on 5G and Beyond Wireless Security)
Vehicular Networks; Security; Ma- chine Learning-based Misbehavior Detection Systems
Abstract :
[en] Position falsification attacks are one of the most dangerous internal attacks in vehicular networks.
Several Machine Learning-based Misbehavior Detection Systems (ML-based MDSs) have recently been
proposed to detect these attacks and mitigate their impact. However, existing ML-based MDSs require numerous features, which increases the computational time needed to detect attacks. In this context, this paper introduces a novel ML-based MDS for the early detection of position falsification attacks. Based only on received positions, our system provides real-time and accurate predictions. Our system is intensively trained and tested using a publicly available data set, while its validation is done by simulation. Six conventional classification algorithms are applied to estimate and construct the best model based on supervised learning. The results show that the proposed system can detect position falsification attacks with almost 100% accuracy.
Disciplines :
Computer science
Author, co-author :
Hawlader, Faisal ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Engel
Boualouache, Abdelwahab ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Engel
Faye, Sébastien ; Luxembourg Institute of Science and Technology, Luxembourg > IT for Innovative services
Engel, Thomas ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
no
Language :
English
Title :
Intelligent Misbehavior Detection System for Detecting False Position Attacks in Vehicular Networks
Publication date :
June 2021
Event name :
The 2021 IEEE International Conference on Communications (the 4th Workshop on 5G and Beyond Wireless Security)
Event date :
4-23 June 2021
Audience :
International
Main work title :
The 2021 IEEE International Conference on Communications (the 4th Workshop on 5G and Beyond Wireless Security)
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