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Timer Entrenched Baited Scheme to Locate and Remove Attacks in MANET

S. Padmapriya1, R. Shankar2, R. Thiagarajan1,*, N. Partheeban3, A. Daniel3, S. Arun4

1 Department of Computing Science and Engineering, Prathyusha Engineering College, Thiruvallur, 602025, India
2 Department of Electronics and Communication Engineering, Teegala Krishna Reddy Engg. College, 500097, Telangana, India
3 School of Computing Science and Engineering, Galgotias University, Greater Noida, 203201, India
4 Department of Electronics and Communication Engineering, Prathyusha Engineering College, Thiruvallur, 602025, India

* Corresponding Author: R. Thiagarajan. Email: email

Intelligent Automation & Soft Computing 2023, 35(1), 491-505.


The Mobile Ad-hoc Network (MANET) is a dynamic topology that provides a variety of executions in various disciplines. The most sticky topic in organizational fields was MANET protection. MANET is helpless against various threats that affect its usability and accessibility. The dark opening assault is considered one of the most far-reaching dynamic assaults that deteriorate the organization's execution and reliability by dropping all approaching packages via the noxious node. The Dark Opening Node aims to deceive any node in the company that wishes to connect to another node by pretending to get the most delicate ability to support the target node. Ad-hoc On-demand Distance Vector (AODV) is a responsive steering convention with no corporate techniques to locate and destroy the dark opening center. We improved AODV by incorporating a novel compact method for detecting and isolating lonely and collaborative black-hole threats that utilize clocks and baits. The recommended method allows MANET nodes to discover and segregate black-hole network nodes over dynamic changes in the network topology. We implement the suggested method's performance with the help of Network Simulator (NS)-3 simulation models. Furthermore, the proposed approach comes exceptionally near to the original AODV, absent black holes in terms of bandwidth, end-to-end latency, error rate, and delivery ratio.


Cite This Article

S. Padmapriya, R. Shankar, R. Thiagarajan, N. Partheeban, A. Daniel et al., "Timer entrenched baited scheme to locate and remove attacks in manet," Intelligent Automation & Soft Computing, vol. 35, no.1, pp. 491–505, 2023.

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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