Integration of secure quantum communication protocols into edge device using quantum-enhanced generative adversarial networks (QE-GANS)

Enhancing data security and privacy in distributed computing environments presents a key challenge in effectively deploying quantum protocols on edge devices with limited resources. The objective of this project is to enhance the security of edge devices by integrating secure quantum communication protocols using Quantum-Enhanced Generative Adversarial Networks (QE-GANs). To provide safe quantum communication integration for QE-GANs on edge devices, researchers can gather the necessary data through the data collection process from edge devices. For data pre-processing in speech recognition applications, Mel-frequency Cepstral Coefficients (MFCCs) are a popular choice. Measurement-Device-Independent Quantum Key Distribution (MDI-QKD) is a cutting-edge method that provides advanced security compared to conventional QKD for secure communication among edge devices. SMLA refers to secure multiparty logic and its utilization, a framework that enables secure communication between multiple parties while ensuring the confidentiality and integrity of the transmitted data. Qubit-masked messages (QMM) and Quantum Coded Modulated Discrete Permutation (QC-MDPC) are two sophisticated quantum communication methods for data encryption. ρ represents the quantum state density matrix; DFR refers to Device-Independent Quantum Secure Randomness Generation Protocol. MATLAB will be utilized to simulate and analyse the performance of QE-GANs) for integrating secure quantum communication protocols into edge devices. The findings show that the peak energy value of 23.7568 represents the dominant frequency component, which plays a key role in significantly influencing the signal. Integrating secure quantum communication protocols with edge devices via QE-GANs could revolutionize data privacy, enhancing real-time encryption, robust authentication, and decentralized trust, paving the way for next-gen secure IoT networks.