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Fuzzy Based Malicious Detection Approach For Underwater Ad-Hoc Wireless Network (UANET)
Ekta Deshmukh Bisen1, Neeta Nathani2, Dhananjay Bisen3

Published in: Journal for Advance Research in Applied Sciences
Volume- 5, Issue-1, pp.81-88, Jan 2018
DPI :-> 16.10089.JARAS.2018.V5I1.8188.2283



Abstract
Fuzzy logic based efficient malicious detection approach (FL-EMDA) has introduced for underwater ad-hoc wireless network (UANET) in which ad-hoc network scenarios create within underwater situation and use AODV routing protocol. This is done through design of fuzzy inference system (FIS) for identifying malicious behavior of node. FIS uses three input parameter packet delivery ratio, packet forward and residual energy of node. FIS classifies the network nodes weather it is malicious or not with the help of these inputs. The proposed algorithm will identify the above discussed activities and it will also discover a trusted path for secure data transmission. After detection of malicious nodes using FIS, simulation results are performed by parameters such as packet delivery ratio, average throughput and total packet forwarding with variation of malicious nodes. Comparative analysis proves that the proposed system is well suited for classification of mobile nodes and detection of malicious nodes within UANET.

Key-Words / Index Term
UANET, FIS, Malicious node, Fuzzy logic, MANET.

How to cite this article
Ekta Deshmukh Bisen1, Neeta Nathani2, Dhananjay Bisen3 , “Fuzzy Based Malicious Detection Approach For Underwater Ad-Hoc Wireless Network (UANET)”, Journal for Advance Research in Applied Sciences, 5, Issue-1, pp.81-88, Jan 2018. DPI:16.10089.JARAS.V5.I1.2283