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Avoid Suspicious Route of Blackhole Nodes in MANET’s: Using A Cooperative Trapping

Abdllkader Esaid1,*, Mary Agoyi2

1 Department of Computer Engineering, Faculty of Engineering, Cyprus International University, Nicosia, Cyprus
2 Information Technology Department, School of Applied Sciences, Cyprus International University, Nicosia, Cyprus

* Corresponding Author: Abdllkader Esaid. Email: email

Computer Systems Science and Engineering 2023, 45(2), 1901-1915. https://doi.org/10.32604/csse.2023.027819

Abstract

Mobile Ad hoc Network (MANET) is decentralized wireless network and can communicate without existing infrastructure in many areas. MANET is vulnerable to various attacks that affect its performance such as blackhole attack. Blackhole attacker, inject fault routing information to persuade the source node to select the path with malicious node as the shortest path. To eliminate malicious nodes from launching any collaborative attack. A cooperative Trapping Approach (CTA) was proposed based on modifying Ad-hoc On-demand Distance Vector (AODV) routing protocol and trapping the malicious nodes by responding to the trap request message. The approach aims to eliminate and rule out both single and collaborative malicious blackhole nodes from any attack. The approach realizes a backward tracking mechanism to perform the elimination process. The proposed algorithm (CTA) was executed using NS-2 network simulator. The performance metrics that has been considered to evaluate the performance of the proposed algorithm such as throughput, end to end delay, packet delivery ratio, and consuming energy. The experimental results have shown the performance metrics of the proposed approach outperformed other state of at algorithms.

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Cite This Article

A. Esaid and M. Agoyi, "Avoid suspicious route of blackhole nodes in manet’s: using a cooperative trapping," Computer Systems Science and Engineering, vol. 45, no.2, pp. 1901–1915, 2023. https://doi.org/10.32604/csse.2023.027819



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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