Quantum-Enhanced Optimization Models for Large-Scale Security Policy Evaluation in Distributed Cloud-Native Systems
DOI:
https://doi.org/10.63282/3117-5481/AIJCST-V7I6P105Keywords:
Quantum Optimization, Cloud-Native Security, Policy Evaluation, Quantum Annealing, Variational Quantum Algorithms, Distributed Systems, Multi-Cloud SecurityAbstract
Cloud-native systems, microservice based, container orchestration systems, service meshes, serverless functions, API-gateways and more, produce huge, heterogeneous, and ever-changing security practices. Assessing these policies as being correct, compliant, resolution of conflicts and how best they are enforced has turned out to be a computational intractable problem within classical optimization paradigms with multiple interactions between policies of exponential policy interaction spaces and dynamic systemswith states. In this paper, the author introduces an in-depth research on the topic of quantum-enhanced optimization models in large-scale security policies analysis in distributed cloud-native. Our proposed quantum/classical solution has to do with a hybrid quantum/classical optimization framework that uses quantum annealing and variational quantum algorithms to effectively survey high-dimensional policy configuration spaces without disturbing policy semantics and compliance constraints. The model treats security policies as constraint satisfaction and combinatorial optimal problems and it allows parallel appraisal of contrasting and redundant security policies concerning distributed cloud resources. An elaborate methodology pipeline is proposed, including the process of policy abstraction, modeling as a graph, and strategies of quantum encoding, optimization using strategies, and validation after the process. When compared to classical solvers, scalability, convergence rate and policy conflict detection under high load conditions and multi-cloud configurations have significantly improved. This paper will provide a framework towards the integration of near term quantum computing into cloud security governance and provide a future prospectus to persist in cloud security policy assessment in next generation cloud-native architectures
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