@inproceedings{fce4d8827c5242c7bf759628c2396dd9,
title = "Similarity-based trust management system for detecting fake safety messages in VANETs",
abstract = "VANETs (Vehicular Ad hoc Networks) are a special case of ad hoc networks with highly mobile nodes (onboard vehicles). In VANETs, vehicles form trust relationships to achieve many goals. Cooperative driving is one of the goals of VANETs. In this paper, we present a scheme that uses similarity-based trust relationships to detect false safety event messages from abnormal vehicles in VANETs. Our scheme reacts to safety events claims made by a vehicle. The scheme predicts that the source vehicle will react to a truthful safety event report. We perform simulations to study the effectiveness of the proposed scheme in uncovering false safety event messages sent by abnormal vehicles.",
keywords = "False data injection, Safety system, Similarity, Trust, VANET",
author = "{Al Falasi}, Hind and Nader Mohamed",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 2nd International Conference on Internet of Vehicles – Safe and Intelligent Mobility, IOV 2015 ; Conference date: 19-12-2015 Through 21-12-2015",
year = "2015",
doi = "10.1007/978-3-319-27293-1_24",
language = "English",
isbn = "9783319272924",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "273--284",
editor = "Feng Xia and Ching-Hsien Hsu and Xingang Liu and Shangguang Wang",
booktitle = "Internet of Vehicles – Safe and Intelligent Mobility - 2nd International Conference, IOV 2015, Proceedings",
}