Impact of Black Hole Attack over Random Aodv Routing Protocol
Bijender Bansal1, Bright Keswani2, Pankaj Gupta3, Monika Goyal4, Deepak Goyal5
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.
4Ms.Monika Goyal, Assistant Professor, Department of Computer Science, Vaish Mahilla Maha Vidayala, Rohtak, India.
5Dr. Deepak Goyal, Pro., Department of CSE, Vaish College of Engineering, Rohtak, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on April 01, 2020. | Manuscript published on April 10, 2020. | PP: 1110-1115 | Volume-9 Issue-6, April 2020. | Retrieval Number: E2870039520/2020©BEIESP | DOI: 10.35940/ijitee.E2870.049620
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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: There are many researches in which the impact of black hole attacks at AODV networks is highlighted. In the research work, the impact of iBlack iHole iattack iover iAODV routing is calculated and random node selection technique is used. In addition, the simulation of black hole attacks’ impact on network performance is proposed in case of proposed model and traditional model. The selection of nodes is made randomly. The simulation of proposed selection based model is able to enhance the ratio of packet delivery. It is efficient to decrease the ratio of packet loss than traditional models. Comparative evaluation of the performance of existing and proposed model is made ion the base of Packet Delivery ratio, Packet loss ratio, Packet Delivery ratio, Packet Loss ratio in case of 200 Node and 225 Node. This research paper also determined iAverage End to End Delivery and Routing over head during comparative analysis. The proposed work can minimize the downfall in delivery ratio as the amount of malicious node increases.
Keywords: AODV, Network Simulation, Black Hole Attack, NS2, Random Node selection, Routing Protocol.
Scope of the Article: Sensor Networks, Actuators for Internet of Things