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Smart city article details

Title	Comparative Analysis Of Various Approaches For Dos Attack Detection In Vanets
ID_Doc	15025
Authors	Ilavendhan A.; Saruladha K.
Year	2020
Published	Proceedings of the International Conference on Electronics and Sustainable Communication Systems, ICESC 2020
DOI	http://dx.doi.org/10.1109/ICESC48915.2020.9155737
Abstract	VANET plays a vital role to optimize the journey between source and destination in the growth of smart cities worldwide. The crucial information shared between vehicles is concerned primarily with safety. VANET is a MANET sub-class network that provides a free movement and communication between the RSU and vehicles. The self organized with high mobility in VANET makes any vehicle can transmit malicious messages to some other vehicle in the network. In the defense horizon of VANETs this is a matter of concern. It is the duty of RSU to ensure the safe transmission of sensitive information across the Network to each node. For this, network access exists as the key safety prerequisite, and several risks or attacks can be experienced. The VANETs is vulnerable to a range of security attacks including masquerading, selfish node attack, Sybil attack etc. One of the main threats to network access is this Denial of Service attack. The most important research in the literature on the prevention of Denial of Service Attack in VANETs was explored in this paper. The limitations of each reviewed paper are also presented and Game theory based security model is defined in this paper. © 2020 IEEE.
Author Keywords	Attacked Packet Detection Algorithm; Best Response; Game theory

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