Optimized Lattice-Based Homomorphic Encryption for Secure Multiparty Computation in Group Communication

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Date

2024

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Institute of Electrical and Electronics Engineers Inc.

Abstract

This research work describes a framework for secured and effective way of group interaction incorporating classical cryptography and quantum communication technique. This framework employs a classical cryptographic methods for group logistics like as transmitting of messages and membership management while employing quantum communication strategy for secure key distribution and related authentication. In order to increase the flexibility and datasecurity of the proposed system further, a supervisor learning based mechanism is incorporated into the framework where reinforcement learning will employed in controlling the interaction of the protocols and the decision-making processes in an active manner. This combination of classical, quantum and supervisor learning strategies gives a solution to the issues of scalability, efficiency, effective and timely actionable response to increasing cyber threats especially in the era of quantum computing. The framework is highly effective and secured for group interaction in distributed network infrastructures. It will be a leading the approach for advanced cryptographic mechanism in the future. © 2024 IEEE.

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Keywords

authentication, classical cryptography, distributed systems, hybrid framework, key distribution, machine learning, quantum communication, quantum computing, reinforcement learning, secure group communication

Citation

Proceedings - 2024 International Conference on Artificial Intelligence and Quantum Computing, AIQC 2024, 2024, Vol., , p. 70-74

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