Secure Handover Authentication Policy and LSTM Gated Recurrent Neural Network Approaches for Intrusion Detection in WSN

Secure communication in wireless sensor networks (WSNs) is essential to protect the integrity, confidentiality, and availability of data communication between sensor nodes. The secure and authentication protocols take responsibility for data protection against malicious activities over the transmission medium. Over the communication, logs are collected in the communication medium; the feature dependences are analyzed to make secure node forming and routing secure to transfer the data using key policies and cryptography approaches. But in the last decades, the communication feature limits have failed to analyze the behavioral approach in the transmission medium, leading to packet loss, false injection, and data theft due to failed authentication and intrusion. To resolve this problem, we propose a Petal Spider Ant Colony Feature Selection (PSACFS)-Based LSTM Gated Recurrent Neural Network (LSTMG-RNN) applied to analyze the routing logs to make secure routing in WSN. The route log analysis is carried out through the Z-score Normalization Policy (ZNP) to predict the feature limits. Then Spectral Intensive Defect Route Margins (SIDRM) are analyzed by a decision factor, and the Transmission Delay Tolerance Impact Rate (TDTIR) is estimated by a feature scalar weights estimation model. Based on the behavior limits, the feature selection is carried out by a PSACFS model to reduce feature dimension, and route selection is carried out through LSTMG-RNN. Each route is securely optimized with a secure master Node Key handover authentication policy (SMN-KHAP) to verify the identity of the communicating entities in a network. It prevents unauthorized nodes from participating in the communication process. This proposed method surpasses other methods in terms of precision (91.06%), accuracy (93.31%), recall rate (92.26%), F1-score (92.08%), and false rate (26.21%), which ensures enhanced security performance in WSN, leading to more secure routing, verification, and authentication.