Experimental Evaluations of Malicious Node Detection on Wireless Sensor Network Environment
Komal Rani, R. Vijayalakshmi · 2021
In this modern era, each and every individual needs to utilize the communication medium for sending and receiving the respective data between source and destination entities. A Wireless Sensor Network (WSN) environments provide such facility to clients to perform a successful and range free communication between source and destination. This paper utilizes the same logic of WSN in an enhanced way, by means of adding some security metrics and associated communication strategies. The routing protocol consideration is a most import ant concern for every communication medium, in this paper a Modified Adhoc-On demand-Distance-Vector (mAODV) is introduced to perform the routing configurations in an efficient way. This proposed approach of mAODV is acquired from the logics of classical AODV model but instead of using the common transmission and reception power ratio the metrics are improvised and it is considered to be the iteration independent routing protocol, in which it consists of self-initiation features over mobile network environment as well as considering the routing metrics such as node-mobility, network link issues, data-packet missing issues and so on. This paper associates a latest technology of Internet of Things (IoT) in this WSN environment to provide a reliable communication between source and destination entities. The purpose of placing the IoT is to improvise the communication abilities between Base station and the network mobile nodes, in which the data directly communicates between the cluster node and the base station requires a huge time interval, so that the adoption of IoT provides a constant surfing power to the channel for communication as well as the routing metrics are improvised in clear manner. An integration of these details such as Internet of Things, WSN and the modified routing protocol mAODV is combinedly called as Improved Cluster enabled Routing Protocol with Fault Detection Metrics (ICRPFDM). This proposed approach of ICRPFDM provides a fault free data communication between entities, in which the faults are denoted as malicious attacks raised by attackers. The ICRPFDM based routing metric identifies the attacks based on two principles such as Certificate Authority and Certificate Revocation. The Certificate Authority monitors the nodes presented into the clusters and the novelty associated with the respective nodes are maintained clearly in the two logs such as Warnlist and Blacklist. The nodes raise a report against another node will be placed into the Warnlist and the same target node is reported by another routing node means the respective target node will be specified into the blacklist. The Certificate Revocation principles identify the blacklisted nodes from the communication scenario and eliminate them from the transactions, so that the proposed approach of ICRPFDM assures the successful communication between source and destination entities. As well as the resulting section assures the results with the practical proofs of enhanced throughput ratio, reduced network delay and the improved network failure detection accuracy ratio.