Authentication and Trust Evaluation Method for Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSNs) have emerged as a crucial technology for applications such as environmental monitoring, healthcare, and military surveillance. However, due to their decentralized architecture, limited computational resources, and open wireless medium, WSNs are highly susceptible to various security threats. The primary problem addressed in this research is the lack of efficient mechanisms for secure authentication and reliable trust evaluation to detect and mitigate malicious node behavior. To overcome this issue, this study proposes an integrated Authentication and Trust Evaluation Method that combines lightweight cryptographic authentication with a dynamic trust management framework. The proposed approach evaluates trust based on parameters such as node reliability, packet forwarding behavior, and data integrity, and updates trust scores in real time. Simulation results indicate that the proposed method significantly enhances security by improving attack detection accuracy, increasing packet delivery ratio, and reducing energy consumption compared to existing techniques. Furthermore, the system effectively isolates malicious nodes, ensuring network stability and data reliability. In conclusion, the proposed model provides a scalable, energy-efficient, and robust solution for securing WSNs against internal and external threats.