Mitigating Security and Privacy Challenges in Wireless Sensor Networks Using Federated Learning Approach
Authors: Elechi, P.*, Bakare, B.I., Ogra, O.A.E.By concentrating sensitive information in one location, traditional centralized data processing increases the vulnerabilities of Wireless Sensor Networks (WSNs) to data interception, tampering, unauthorized access, and privacy issues when transmitting sensitive data. Implementing a decentralized machine learning approach would benefit efforts at mitigating these vulnerabilities. In this study, the federated learning approach—a decentralized machine learning…