A Survey of Local/Cooperative Based Malicious Information Detection Techniques in VANETs

Muhammad Arshad, Zahid Ullah, Naveed Ahmad, Muhammad Khalid, Haithiam Cruickshank, Yue Cao

Research output: Contribution to journalArticlepeer-review

54 Citations (Scopus)
35 Downloads (Pure)


Vehicular Adhoc NETworks (VANETs) are emerged technology where vehicles and Road Side Units (RSUs) communicate with each other. VANETs can be categorized as a sub branch of Mobile Adhoc NETworks (MANETs). VANETs helps to improve traffic efficiency, safety and provide infotainment facility as well. The dissemination of messages must be relayed through nodes in VANETs. However, it is possible that a node may propagate false information in a network due to its malicious behaviour or selfishness. False information in VANETs can change drivers behaviour and create disastrous consequences in the network. Therefore, sometimes false safety messages may endanger human life. To avoid any loss, it is more important to detect and avoid false messages. This paper has explained some important algorithms that can detect false messages in VANETs. The categorization of false messages detection schemes based on local and cooperative behaviour has been presented in this article. The limitations and consequences of existing schemes as well as future work has been discussed.
Original languageEnglish
Article number62
JournalEurasip Journal on Wireless Communications and Networking
Early online date15 Mar 2018
Publication statusPublished - Dec 2018


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