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An Enhanced Virtual Private Network Authenticated Ad Hoc On-Demand Distance Vector Routing

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Advances in Decision Sciences, Image Processing, Security and Computer Vision (ICETE 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 3))

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Abstract

One of the most frequently used protocol in the MANETS Mobile Ad Hoc networks is AODV the Ad hoc on-Demand distance vector routing. The protocol is open to various security threats. Through this paper we have proposed a novel Virtual Private Network Authenticated Ad hoc On-Demand Distance Vector Routing (VPNAODV) protocol which employs techniques like Virtual Private Network, Observer nodes and Digital signature to defend the protocol from attacks like flooding, wormhole, black hole, and Sybil attacks. Our proposed protocol enhances the basic AODV protocol while retaining the underlying functionality of the algorithm. Network Simulator-2 was used to simulate our results, we have compared these results of AODV with our proposed algorithm and found our proposed algorithm to be superior.

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References

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Correspondence to Sara Ali .

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Ali, S. (2020). An Enhanced Virtual Private Network Authenticated Ad Hoc On-Demand Distance Vector Routing. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_25

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