EDTDS-AODV: An Enhanced Distributed Secure Routing using Trust Model with Improved D-S Evidence Theory in Manets
M. Vijaya Bhaskar1, N. Geethanjali3

1M. Vijaya Bhaskar, Research Scholar, Department of Computer Science and Engineering,Rayalaseema University, Kurnool.
2N. Geethanjali, Professor, Department of Computer Science & Technology, Sri Krishnadevaraya University, Anantapur.

Manuscript received on 03 August 2019. | Revised Manuscript received on 08 August 2019. | Manuscript published on 30 September 2019. | PP: 8849-8856 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6672098319/2019©BEIESP | DOI: 10.35940/ijrte.C6672.098319

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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: Mobile Ad Hoc Networks (MANETs) is a group of mobile nodes with a dynamic (changing) topology and it works under scalable conditions for many applications and cause various security dispute. Recognizing the misbehavior is a tedious issue, because of the nomadic nature of nodes. For recognizing the destination route, nodes will share the routing details between the neighbors. So, nodes should trust one another, and here, trust is the main thing in secure routing mechanism. The MANETs current routing protocol concentrates on recognizing the paths in the dynamic networks without considering security. Here, an enhanced distributed trust model which computes neighbours’ direct trust by factors of encounter time, mobility, energy, successful cooperation frequency and some other more. In order to link the multiple recommended pieces of evidence and obtain the recommended trust value, we make use of the enhanced Dempster-Shafer evidence theory. EDTDS-AODV protocol is proposed in our work by extending the AODV protocol, which works according to the novel trust mechanism, an enhanced distributed trusted secure routing protocol. Here, based on the trust values of its neighbour nodes, the node decides the routing decision. And at last, proposed method modifies the traditional AODV routing protocol with the constraints of trust rate, energy, and mobility etc., according to the malicious behavior prediction. The trust rate is defined by the packet sequence ID matching from the log reports of neighbor nodes, which eliminates the malicious report generation. The trust level is increased by using the direct and indirect trust observation schemes. The trusted node is checked whether it is within the communication range or not, with the help of received signal strength indicator. From the experimental result it is confirmed that the EDTDS-AODV can avoid the malicious nodes effectively when building the route; in addition, it also accomplishes the better performance when compared with TAODV and AODV with respect to throughput, packet delivery ratio, and average end to end delay.
Keywords: Mobile Ad-Hoc Network (MANET), Ad Hoc On-Demand Distance Vector (AODV), Distributed Trust management, Improved D-S Evidence Theory, Expected Transmission Count (ETX), Path Encounter Rate (PER), Average Encounter Rate (AER), Successful Cooperation Frequency (SCF)

Scope of the Article: Mobile Ad-Hoc Network