INTRUSION DETECTION FRAMEWORK FOR GEO-SENSOR NETWORK

Abstract

Wireless Geo-Sensor Network (GEONET) is suitable for critical applications in hostile environments due to its flexibility in deployment. However, low power geo-sensor nodes are easily compromised by security threats like battery exhaustion attacks, which may give rise to unavoidable circumstances. In this type of attack, the intruder forcefully resists legitimate sensor nodes from going into a low-power sleep state. So that compromised sensor nodes' battery power is drained out, and they stop working. Due to sensor nodes' limited capability, it is complicated to prevent a sensor node from this type of attack, which appears as innocent interaction. This paper proposes a secure GEONET model (SEGNET) based on a dynamic load distribution mechanism for a heterogeneous environment. It implements a hybrid detection approach using three modules for anomaly detection, intrusion confirmation, and decision making to reduce the probability of false detection.