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This paper develops an Optimal Risk Access Control Model (ORACM) for enhancing security in cloud computing. In this proposed model, three important risk aspects are considered such as environment attribute, resource attribute and subject attribute. Based on these factors, the suggested risk validation indexes were created, and by fusing Adaptive Snake Optimization (ASO) and Policy Approach Access Control (PAAC), the risk validation computation method would be quantitatively validated. In the PAAC, the optimization method is taken into account while choosing the decision. Based on the validation, optimization and choosing the best risk decision is reducing waiting time. conventional access control continues to receive access needs as extended as they are genuine once the architecture is in an emergency state (like when the CPU and memory remain saturated), raising the danger of a system crash …