State Context and Hierarchical Trust Management in WSN for Intrusion Detection

Wireless sensor network is defined as homogeneous or heterogeneous system containing large number of sensors namely called as nodes used to monitor different environments in cooperatives. WSN is composed of sensor nodes (SN), base stations (BS) and cluster head (CH). The popularity of wireless sensor network has been increased day by day exponentially due to its wide range of application. The applications of wireless sensor networks are air traffic control, healthcare systems, home services, military services, industrial & building automations, network communications, VAN etc. The advantage of WSN is that it is very easy to install in critical regions where normal network cannot be set. Thus the wide range of applications attracts attacker. To secure from different types of attacks mainly intruder, intrusion detection system 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 (CH) whereas trust of cluster head is evaluated by neighbor cluster head or base stations. Hence the content trust, honest trust and interactive trust is 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 hierarchical manner and trust evaluation overhead is minimized. This proposed work addresses the security issues of wireless sensor network. A more prominent intrusion detection system based on context level and trust level is introduced. This mechanism achieves more than 90% accuracy in detection of routing attack and sinkhole attack. The architecture suggested in this paper is used to develop two level of trust model. Accuracy of 90% and 95% is expected in intrusion detection and context text detection respectively.