An Approach on Detecting Malicious Nodes in Distributed Sensor Networks

Abstract

Wireless Sensor Networks (WSN) have become prevalent in various applications, including IoT, monitoring, and surveillance. However, due to their deployment in remote locations, ensuring security is crucial. Security issues may arise due to physical tampering or other types of attacks on the network or nodes. Malicious node detection is an effective approach to prevent security breaches and attacks on WSNs. In this research, a hybrid model is proposed for detecting malicious nodes to enhance the security of WSNs. It utilizes a combination of anomaly-based detection and reputation-based detection techniques to effectively detect malicious nodes in WSNs by using available resources efficiently. Extensive simulations using the COOJA Simulator demonstrate the working of the hybrid model, providing an efficient and effective solution for enhancing the security of WSNs.