Se-Eaodv to Detect and Prevent Black Hole Attack in Manets
Khushbu1, R.K Bathla2
1Khushbu, Research Scholar, Professor, P.hd Madhav University, Rajasthan, India.
2Dr. R.K Bathla, Research Scholar, Professor, P.hd Madhav University, Rajasthan, India.
Manuscript received on May 16, 2020. | Revised Manuscript received on May 20, 2020. | Manuscript published on June 10, 2020. | PP: 513-517 | Volume-9 Issue-8, June 2020. | Retrieval Number: F3073049620/2020©BEIESP | DOI: 10.35940/ijitee.F3073.069820
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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: The security of the data which is transferred from source to destination is of prime importance in the mobile ad hoc network (MANET) or any kind of network to be very precise. If the data gets lost then the entire purpose of deploying and creating the network fails. Mobile ad hoc networks suffer from various attacks out of which black hole attack is considered the most dangerous one because in this attack the venomous node release all the packets received by it. The authors in EAODV has used the concept of fake route request packets to identify the black hole nodes in the grid. The proposed technique detects the malicious black hole node using the sequence numbers. The performance of the network has been examined based on end to end delay, packet delivery ratio, detection time, throughput and remaining energy. These parameters have shown improvement over the existing scheme.
Keywords: MANETs, Black hole attack, Sequence number, EAODV, RREQ, PDR.
Scope of the Article: Adhoc and Sensor Networks