Detection of intelligent malicious and selfish nodes in VANET using threshold adaptive control

Chaker Abdelaziz Kerrache, Abderrahmane Lakas, Nasreddine Lagraa

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

    4 Citations (Scopus)

    Abstract

    Detecting malicious and selfish nodes is an important task in Vehicular Adhoc NETworks (VANETs). Various proposals adopted trust management as an alternative solution for it is less costly in terms of computation delay and mobility adaptation, compared to the cryptography-based solutions. However, the existing solutions assume that in general the attackers have always a dishonest behavior that persists over time. This assumption may be misleading, as the attackers can behave intelligently to avoid being detected. In this paper we propose a new solution for the detection of intelligent malicious behaviors based on the adaptive detection threshold. In addition to the detection of malicious nodes, our solution incite attackers to behave well since any malicious behavior will be immediately detected thanks to the adaptive detection threshold. We present simulations results which show the high efficiency of our proposal at ensuring high ratios for both detection and packet delivery.

    Original languageEnglish
    Title of host publication2016 5th International Conference on Electronic Devices, Systems and Applications, ICEDSA 2016
    PublisherIEEE Computer Society
    ISBN (Electronic)9781509053063
    DOIs
    Publication statusPublished - Jan 13 2017
    Event5th International Conference on Electronic Devices, Systems and Applications, ICEDSA 2016 - Ras Al Khaimah, United Arab Emirates
    Duration: Dec 6 2016Dec 8 2016

    Other

    Other5th International Conference on Electronic Devices, Systems and Applications, ICEDSA 2016
    Country/TerritoryUnited Arab Emirates
    CityRas Al Khaimah
    Period12/6/1612/8/16

    Keywords

    • Adaptive Threshold
    • Security
    • Trust Management
    • Vehicular Ad-hoc Networks

    ASJC Scopus subject areas

    • Computer Science Applications
    • Hardware and Architecture
    • Software
    • Electrical and Electronic Engineering

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