Paper Title: FedQ: A Secure Collaborative Cyber Defense Framework for Internet of Medical Things Based on Quantum and Federated Learning
Conference Name: KICS Summer
Abstract: This study introduces FedQ, a quantum-based security scheme for defending against cyber attacks in the Internet of Medical Things (IoMT). By integrating quantum key distribution (QKD) with privacy-preserving federated learning (FL), FedQ ensures secure communication between hospital management units (HMUs) and the FL server. QKD encrypts FL transmissions, enhancing security. The FedQ ML model achieves exceptional performance, with 93% accuracy and 90.25% precision, outperforming classical federated averaging techniques.