ENSURING THE SECURITY OF INTERNET OF THINGS DEVICES USING FEDERATED LEARNING METHODS

The Internet of Things (IoT) is one of the key technologies for device interaction. However, there are certain resource limitations in IoT device interactions. These limitations impact real-time interactions of IoT devices and pose challenges to the security of users' personal data within the network. This work explores the use of federated learning, an innovative machine learning approach, to enhance the security of IoT devices. The article provides an overview of the use of federated learning in global research. The federated learning method 'Federated Average' is used to analyze network traffic generated by the interaction of nine IoT devices to detect DDoS attacks. The proposed system was evaluated using performance metrics.