Publication Type:

Conference Paper

Source:

2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, Institute of Electrical and Electronics Engineers Inc., Volume 2018-January, p.1534-1539 (2018)

ISBN:

9781509061068

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049393775&doi=10.1109%2fICICICT1.2017.8342799&partnerID=40&md5=c5526469fdf37cc7eba26bed870dbe3c

Keywords:

Ad-hoc on demand routing protocols, AODV, Average end-to-end delays, Gravitation, Intelligent computing, Motor transportation, Network security, Packet delivery ratio, Packet networks, Roads and streets, Routing protocols, RREP, RREQ, Simulation environment, Stars, Tin, VANET, Vehicular ad hoc networks

Abstract:

Vehicular ad hoc network (VANET) has gained a lot of attraction and importance. It enhances the road safety and provides many value-added services. In VANET particularly Black Hole is a major security threat. A new method is proposed to detect a malicious node that causes black hole and to eliminate the malicious node completely. Various performance metrics are considered for the assessment of VANET during black hole attack which rely on average end to end delay, network throughput, packet loss and packet delivery ratio. Simulation of the network is done by using Network Simulator 2. Simulation environment comprises of 24 vehicular nodes that are dynamic in nature and 1 static nodes that act as road side units. The proposed approach is combined with Ad hoc on demand routing protocol (AODV) to defend and isolate black hole from the network. © 2017 IEEE.

Notes:

cited By 0; Conference of 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017 ; Conference Date: 6 July 2017 Through 7 July 2017; Conference Code:136091

Cite this Research Publication

P. S. Gautham and Shanmughasundaram, R., “Detection and isolation of Black Hole in VANET”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 1534-1539.