A Novel Hybrid Intelligent Federated Multi-Objective Zero-Trust Multi-Cloud Data Storage Security Architecture
The increasing adoption of cloud computing has driven organizations to deploy applications and services across multiple cloud (multi-cloud) platforms, leading to multi-cloud environments rise. While this approach enhances flexibility, scalability, and resilience by mitigating vendor lock-in, it also introduces significant security challenges as data confidentiality, integrity, access control, and secure interoperability between heterogeneous platforms due to the heterogeneity of clouds providers. Ensuring consistent and robust security across diverse infrastructures requires a unified and adaptive data storage security architecture. In this respect, we propose in this work a multi objective optimization Zero-Trust-based hybrid intelligent edge-fog-multi-cloud Data Storage security architecture. For this purpose, we consider the fundamental properties of cloud security: availability, confidentiality, integrity, authenticity, and privacy. These properties are integrated into multi-objective problems, enabling strong criteria. It is a novel architecture formulated as multi-objective problems tackling resources management within every single cloud of the multi-cloud system using a load balancing technique, energy optimization approach within the cloud data centres, and homomorphic security approach of the multi-cloud to avoid sensitive data exposure.