Improvement of Performance Metrics and Security of AODV Routing Protocol using Central Dogma of Molecular Biology Based DNA Cryptography
Gambhir Singh1, Rakesh Kumar Yadav2

1Gambhir Singh*, Research Scholar, Computer Science and Engineering, IFTM University, Moradabad, India.
2Dr. Rakesh Kumar Yadav, Department of Computer Science and Engineering, IFTM University, Moradabad, India.
Manuscript received on January 17, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 2613-2630 | Volume-9 Issue-4, February 2020. | Retrieval Number: D2075029420/2020©BEIESP | DOI: 10.35940/ijitee.D2075.029420
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Abstract: Mobile ad hoc network is appealing mechanization in many applications, including disaster recovery and communication systems and rescue due to the flexibility offered by the diverse network. An equivalent network, although it has been found that legitimate can operate independently, or may link to the wider Internet. A framework has been introduced in recent years operators and attackers, have used this network environment. Mobile Ad hoc Network is the main concern about dynamic routing access. Mobile ad hoc network provides several well-known protocols for routing responsive like DSR, AODV, TORA, etc. AODV can route both unicast and multicast. AODV routing protocol cannot protect against a wormhole attack. In this paper, we implement a technique of pseudo-DNA cryptography, focused on the molecular biology’s central dogma. In this approach, we simulate the central dogma’s transcription and translation process, and even some extra features to make it difficult to crack the resulting ciphertext and defense against wormhole attack. In the sense of ratio for packet drop, throughput and the delay between two nodes we also examine the impact of the wormhole attack on a parameter of ad hoc network. Keywords : Mobile ad-hoc network, AODV routing protocol, Central Dogma of Molecular biology.
Keywords: Mobile ad-hoc Network, AODV Routing Protocol, Central Dogma of Molecular Biology
Scope of the Article: Computational Biology