This paper is published in Volume-5, Issue-4, 2019
Area
Vanet
Author
Selvarani B.
Co-authors
Rahin Batcha R.
Org/Univ
Independent Researcher, India
Pub. Date
30 August, 2019
Paper ID
V5I4-1376
Publisher
Keywords
Urban vehicular Ad Hoc networks, Emergency message, Greedy behaviour, Dos attacks, FGMD

Citationsacebook

IEEE
Selvarani B., Rahin Batcha R.. Manipulating and detecting greedy behaviour while disseminating emergency messages in urban VANET, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Selvarani B., Rahin Batcha R. (2019). Manipulating and detecting greedy behaviour while disseminating emergency messages in urban VANET. International Journal of Advance Research, Ideas and Innovations in Technology, 5(4) www.IJARIIT.com.

MLA
Selvarani B., Rahin Batcha R.. "Manipulating and detecting greedy behaviour while disseminating emergency messages in urban VANET." International Journal of Advance Research, Ideas and Innovations in Technology 5.4 (2019). www.IJARIIT.com.

Abstract

Vehicular Ad hoc Networks (VANETs), whose main aim is to provide road safety and enhance the driving conditions, are exposed to several kinds of attacks such as Denial of Service (DoS) attacks which affect the availability of the underlying services for legitimate users. The principle reason for wellbeing application is to give security street condition data to clients and consequently spare human lives from mischances. Cautioning messages are the more basic part of the security messages and latency of this message will leads to many problems. In the proposed work urban multi-hop broadcast protocol is used to disseminate the emergency message in all the directions simultaneously. This protocol assigns the duty of forwarding and acknowledging the broadcast packet to only one node among the candidate nodes and such a forwarding node is successfully chosen by the asynchronous contention among them. In this paper an enhanced forwarder node selection scheme is adopted which can manipulate back off greedy behaviour while disseminating the emergency message and a new algorithm called Forwarding Greedy Misbehaviour Detection (FGMD) is proposed to detect the existence of greedy behaviour in VANET. By monitoring network traffic traces, the algorithm is able to affirm the existence or not of greedy nodes using newly defined five parameters by fuzzy logic. The proposed system may result in better performance in terms of Message reception rate, throughput and transmission delay.
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