Detecting Intruder and Black Hole Attackers in Mobile Adhoc Network
| International Journal of Electronics and Communication Engineering |
| © 2024 by SSRG - IJECE Journal |
| Volume 11 Issue 4 |
| Year of Publication : 2024 |
| Authors : S. Hemalatha, Maddala Janakidevi, Pullela SVVSR Kumar, M.S. Arunkumar, Sanjeevkumar Angadi, T. Muruganantham, R. Hamsalekha, T. Vijay Muni |
10.14445/23488549/IJECE-V11I4P109
How to Cite?
S. Hemalatha, Maddala Janakidevi, Pullela SVVSR Kumar, M.S. Arunkumar, Sanjeevkumar Angadi, T. Muruganantham, R. Hamsalekha, T. Vijay Muni, "Detecting Intruder and Black Hole Attackers in Mobile Adhoc Network," SSRG International Journal of Electronics and Communication Engineering, vol. 11, no. 4, pp. 80-88, 2024. Crossref, https://doi.org/10.14445/23488549/IJECE-V11I4P109
Abstract:
Making the packet transfer communication among the wireless nodes in Mobile Adhoc Network is a tedious task due to the nature of the communication nodes and the suspicious nodes’ activities like intruders and attackers. Much research work was concentrated on thwarting the packet delay node and dropping the node in the transmission with the support of modern techniques and internal node parameter monitoring that are supplementary work to the node’s communication and reduce the performance of the nodes. This paper anticipated a new algorithm named classification algorithm with a simple forward time of the node parameter to predict the intruder node as well as the black hole attacker in the communication. The proposed effort was called a Classification algorithm-based intruder as well as a Black Hole Attack AODV, and it was tested with the simulator. The outcome was compared with the normal AODV method. The simulation results showed that the proposed CAIBHA-AODV worked better packet delivery, less delay and attack detection time and constant attack rate compared with the normal AODV.
Keywords:
MANET, Intruder, Black Hole Attackers, Suspicious node, Classification algorithm, Forward time.
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