Similarity-based trust management system for detecting fake safety messages in VANETs

Hind Al Falasi, Nader Mohamed

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    12 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationInternet of Vehicles – Safe and Intelligent Mobility - 2nd International Conference, IOV 2015, Proceedings
    EditorsFeng Xia, Ching-Hsien Hsu, Xingang Liu, Shangguang Wang
    PublisherSpringer Verlag
    Pages273-284
    Number of pages12
    ISBN (Print)9783319272924
    DOIs
    Publication statusPublished - 2015
    Event2nd International Conference on Internet of Vehicles – Safe and Intelligent Mobility, IOV 2015 - Chengdu, China
    Duration: Dec 19 2015Dec 21 2015

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9502
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other2nd International Conference on Internet of Vehicles – Safe and Intelligent Mobility, IOV 2015
    Country/TerritoryChina
    CityChengdu
    Period12/19/1512/21/15

    Keywords

    • False data injection
    • Safety system
    • Similarity
    • Trust
    • VANET

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

    Fingerprint

    Dive into the research topics of 'Similarity-based trust management system for detecting fake safety messages in VANETs'. Together they form a unique fingerprint.

    Cite this