RANDOM-AODV: Efficient Adhoc on Demand Distance Vector Routing Protocol using Fuzzy Logic during Black Hole Attack
Bijender Bansal.1, Bright Keswani.2, Pankaj Gupta.3, Deepak Goyal4

1Mr. Bijender Bansal, Research Scholar, Department of Computer Engineering, Suresh Gyan Vihar University, Jaipur, India.
2Dr.Bright Keswani, Professor, Supervisor, Department of Computer Applications, Suresh Gyan Vihar University, Jaipur, India.
3Dr. Pankaj Gupta, Professor, Co-Supervisor, Department of CSE, Vaish College of Engineering, Rohtak, India.
4Dr. Deepak Goyal, Profeesor, Department of CSE, Vaish College of Engineering, Rohtak, India.

Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 2730-2734 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7472129219/2019©BEIESP | DOI: 10.35940/ijitee.B7472.129219
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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: However the black hole attack prevention has been proposed earlier but it is observed that the packet dropping increases constantly as the number of black hole attack are increased. The proposed work is making use of fuzzy logic. This mechanism allows the random node selection so it is supposed to maintain the packet delivery ratio. Results of this research show that the proposed mechanisms do not allow packet dropping on constant rate. Many studies are made that are simulating influence of attack made by .black .hole in the network based on .AODV. It has been observed that there is constant fall in the packet dropping ratio if number of malicious packet increases. This paper has represented the Black Hole attack over AODV routing when random node selection mechanism is applied. Proposed work is allowing selection of nodes on random basis. Such mechanism is supposed to improve the ratio of delivery of packet. Results of Simulation indicates the impact of black hole attack over packet delivery ratio , packet .loss .ratio, .Average .end to .end delivery, and .routing over head. Moreover the comparative analysis of .traditional and .proposed model is made considering packet delivery ratio. 
Keywords: Network Simulation, Routing Protocol, .AODV, Black hole Attack, NS2, Random node selection
Scope of the Article: Approximation and Randomized Algorithms