Effective Wormhole Attack Detection and Isolation In 6lowpan Networks

Authors(2) :-R. Sujatha, P. Srivaramangai

Nowadays the improvements in MANET needs for technological enlargement for the efficient data transmission which can be attained throughout the wireless architecture that has its advancements to the core i.e., 6LoWPAN Networks. In common, nearly all the sensors have the ability of communication and the requirement of low power consumption. 6LoWPAN (Low Power Sensor or Mobile devices in IPV6 Network with Gateway) plays a brilliant role in this convergence of heterogeneous technologies thereby permitting sensors to broadcast information using IPv6 stack. Sensors tend to be targets of attacks out of which Wormhole attack is one of the most familiar and threatens the network accessibility by dropping data in between or disturbing routing paths. RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) is a usual routing protocol used in sensor networks and it recommends a RPL-based wormhole detection mechanism. The rank of a node-defined RPL is used to determine the distance through the differences. The proposed detection method determines malicious wormhole nodes if unreasonable rank values are recognized. The experimental results prove that the proposed detection method can identify wormholes effectively under different wireless 6LoWPAN networks.

Authors and Affiliations

R. Sujatha
Ph.D. Research Scholar, Department of Computer Science, MaruduPandiyar College, Thanjavur , Tamilnadu, India
P. Srivaramangai
Associate Professor, Department of Computer Science, MaruduPandiyar College, Thanjavur , Tamilnadu, India

6LoWPAN Networks, MANET, Worm Hole Attack, RPL

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 853-861
Manuscript Number : CSEIT1835188
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

R. Sujatha, P. Srivaramangai, "Effective Wormhole Attack Detection and Isolation In 6lowpan Networks", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.853-861, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1835188

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