Two Level Intrusion Detection Mechanism For Context and Trust in Wireless Sensor Network
Ranjeet B. Kagade1, P. Balamurugan2

1Ranjeet B. Kagade, Research scholar, Department of Computer Science and Engineering, Veltech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology (Deemed to be University) Avadi, Chennai, Tamilnadu, India.
2Dr. P. Balamurugan, Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology (Deemed to be University) Avadi, Chennai, Tamilnadu, India.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 30, 2020. | Manuscript published on March 30, 2020. | PP: 65-71 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7141038620/2020©BEIESP | DOI: 10.35940/ijrte.F7141.038620

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Abstract: 21st century is considered as the era of communication, and Wireless Sensor Networks (WSN) have assumed an extremely essential job in the correspondence period. A wireless sensor network is defined as a homogeneous or heterogeneous system contains a large number of sensors, namely called nodes used to monitor different environments in cooperatives. WSN is composed of sensor nodes (S.N.), base stations (B.S.), and cluster head (C.H.). The popularity of wireless sensor networks has been increased day by day exponentially because of its wide scope of utilizations. The applications of wireless sensor networks are air traffic control, healthcare systems, home services, military services, industrial & building automation, network communications, VAN, etc. Thus the wide range of applications attracts attackers. To secure from different types of attacks, mainly intruder, intrusion detection based on dynamic state context and hierarchical trust in WSNs (IDSHT) is proposed. The trust evaluation is carried out in hierarchical way. The trust of sensor nodes is evaluated by cluster head (C.H.), whereas the trust of the cluster head is evaluated by a neighbor cluster head or base station. Hence the content trust, honest trust, and interactive trust are put forward by combining direct evaluation and feedback based evaluation in the fixed hop range. In this way, the complexity of trust management is carried in a hierarchical manner, and trust evaluation overhead is minimized.
Keywords: Hierarchical trust management, base station, cluster head, intrusion detection mechanism, P2P network, WSN.
Scope of the Article: Wireless Sensor Network