Trust Management Based Improved Mechanism to Prevent MANET from Security Threats Using Optimized SVM
Vishal Walia1, Rahul Malhotra2
1Mr. Vishal Walia, Scholar at IKG Punjab Technical University, Jalandhar. India.
2Dr. Rahul Malhotra, Bachelor of Electronics and Telecommunication Engineering from Amravati University Amravati, India.
Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1363-1369| Volume-8 Issue-9, July 2019 | Retrieval Number: I7733078919/19©BEIESP | DOI: 10.35940/ijitee.I7733.078919
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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: A temporal network creates various issues which are managed by nodes, communicating with the base station. The flow of packets with different routes usually attacked by malicious nodes, such an attack is also termed as black hole attack. A novel FSAODV mechanism is proposed in this paper to prevent the information from malicious nodes by following the Ad-hoc on demand distance vector (AODV) protocol. The detection of threats due to the black hole and route enhancement is implemented using the bio-inspired algorithms. Firefly algorithm and Support Vector Machine (SVM) algorithms are developed to determine the throughput, Packet Delivery Ratio (PDR), and TDR. A comparative analysis has been done to portray the success rate of proposed work. For the comparison, research works of Ashok Koujalagi and Rushdi A. Hamamreh are considered. 33.33% enhancement has been noted in throughput with Ashok Koujalagi and74.44% with Rushdi A. Hamamreh. 21.4% enhancement has been seen in PDR with Ashok Koujalagi and 91.71% with Rushdi A. Hamamreh.
Keywords: Black hole attack, Route discovery, Ad hoc on demand distance vector, Firefly, Support vector machine, Detection rate, Throughput, Packet delivery ratio
Scope of the Article: Addressing & Location Management