SEEDI: Secure and Energy Efficient Approach for Detection of an Intruder in Homogeneous Wireless Sensor Networks

Abstract

Wireless Sensor Networks consists of tiny devices which processes and routes the sensed data. The process of detecting any external and internal intruders entering to a Wireless Sensor Network area is referred to as intrusion detection. An intruder is a moving attacker entering a particular area. In this paper, we propose an algorithm Secure and Energy Efficient Approach for Detection of Intruder (SEEDI) in homogeneous Wireless Sensor Networks. Single sensing and multi sensing intruder detection are considered in our algorithm. Simulation results showed that the proposed algorithm resulted in better performance.

Probabilistic Model for Single and Multi-Sensing Intrusion Detection in Wireless Sensor Networks

“…Wang et al, [27] develop a probabilistic model using both Poisson and Gaussian distribution for multiple deployment of nodes in the area of interest and detect the intruder efficiently. In our previous work [28] we have developed a probabilistic model and a secure and energy efficient algorithm to detect the intruder in homogeneous WSNs. Here, fewer sensors are activated to detect the intruder, thus reducing the energy consumption based on the sensing range and transmission range of the sensors.Li-Liannet al, [29] compare Location based, Neighbor based and Probability based algorithms to minimize energy consumption so as to increase the network lifetime and suggests cluster based algorithm that identifies the redundant nodes.…”