Enhanced Secure Multi-Party Computation with Gaussian Encryption in Cloud Networks

Abstract

This paper presents a State-of-the-Art Gaussian Distributive Optimized Congruential Cryptographic Deep Multilayer Perceptive Network (GD-DMPN) for achieving Load Balancing and Secure Data Outsourcing in Federated Cloud. The GD-DMPN can efficiently distribute and correlate data over many nodes, making it a valuable tool for data management in federated Clouds. The GD- DMPN can also exploit multiple layers of Perceptual Learning for enhanced data correlation and load balancing. As the world moves more and more towards digitalization, the demand for cloud services is increasing rapidly.