Neighbour Node Ratio AODV (NNR-AODV) Routing Protocol for Wormhole Attack Detection in Manets
M V D S Krishna Murty1, Lakshmi Rajamani2
1M V D S Krishna Murty, Research Scholar, Department of CSE, Jawaharlal Nehru Technological University Hyderabad (Telangana), India.
2Dr. Lakshmi Rajamani, Professor and Head (Retd), Department of CSE, Osmania University, Hyderabad (Telangana), India.
Manuscript received on 01 March 2023 | Revised Manuscript received on 14 March 2023 | Manuscript Accepted on 15 March 2023 | Manuscript published on 30 March 2023 | PP: 1-9 | Volume-11 Issue-4, March 2023 | Retrieval Number: 100.1/ijese.D25470311423 | DOI: 10.35940/ijese.D2547.0311423
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper aimed at the detection of wormhole attack and proposed a new method called Neighbour Node Ratio Adhoc On Demand Distance Vector Routing (NNR-AODV). NNR-AODV is an extended version of the traditional AODV routing protocol. The proposed NNR-AODV calculates the neighbour node count for every node and, based on that, decides whether a wormhole is present or not. Furthermore, NNR-AODV can detect both external and internal nodes that a wormhole has attacked. Additionally, NNR-AODV derived a Neighbour node Threshold value based on the cumulative distances between nodes present in the wormhole attack. For experimental validation, we conducted an extensive simulation, and performance was measured through the Number of bogus links, Detection rate, False positive Rate, Packet delivery ratio, and Packet loss ratio. The obtained results demonstrate superior performance in detecting wormhole attacks compared to existing methods.
Keywords: Wormhole, Neighbor Node Threshold, Bogus Links and Node Degree.
Scope of the Article: Data Analytic