SEGNET: Secure Geo-Sensor Network Model

TL;DR

This paper proposes SEGNET, a secure geo-sensor network framework that uses dynamic load distribution and a hybrid detection approach to prevent battery exhaustion attacks in hostile environments.

Contribution

It introduces a novel secure GEONET model with a dynamic load distribution mechanism and a hybrid anomaly detection approach to enhance security against battery exhaustion attacks.

Findings

Reduces false detection probability compared to existing methods

Effectively detects and mitigates battery exhaustion attacks

Enhances security in geo-sensor networks in hostile environments

Abstract

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