Improved Security of Network Clock Synchronization in Wireless Sensor Networks
B Venkat Vinod Kumar, Gokul Gopakumar, Dwarapu Subham, K Murali · 2024
Wireless sensor networks (WSNs) are pivotal in diverse applications, from environmental monitoring to industrial automation. Securing these networks is crucial, and clock synchronization stands out as a critical challenge. The Kalman filter, known for its efficacy in state estimation and noise reduction, addresses clock synchronization vulnerabilities in WSNs. By modeling clock synchronization as a dynamic system, the Kalman filter adapts to estimate clock drifts, compensating for network conditions and security threats. It offers real-time adjustment of synchronization parameters, effectively mitigating threats like malicious biasing and timing attacks. The Dual Kalman Filter is an essential addition to this approach. Operating two Kalman filters simultaneously, it enhances clock synchronization by compensating for diverse sources of clock deviation across the network. This dual filtering approach improves accuracy and resilience against irregularities, contributing significantly to WSN reliability and security. In tandem, Long Short-Term Memory (LSTM) networks are integral to WSNs, addressing temporal data analysis and enhancing prediction, monitoring, and decision- making. LSTM models detect anomalies, ensuring WSN integrity by recognizing unexpected sensor behavior and securing data transmissions. Integrating LSTM into WSN applications enhances their capabilities while considering resource constraints inherent in wireless sensor environments.