Abstract: - In today's world, cloud computing is crucial for data storage and cost reduction for businesses. The storage needs for visual data have grown in recent years as a result of the proliferation of interactive multimedia services and apps for mobile devices in both personal and commercial settings. This is a critical consideration when deciding whether to use cloudbased data outsourcing services. However, our decision to store data on the cloud creates additional security issues that must be properly handled. A safe system for storing and retrieving subcontracted privacy measures in huge collections of shared photos is proposed. Our approach is based on IES-CBIR, a novel image encryption technique with content-based picture recovery capabilities. This architecture provides for both secured storage and discovery using content-based picture retrieval queries, all while retaining anonymity from trustworthy yet curious cloud administrators. We provided a framework that was examined and evaluated in terms of security, as well as performance and retrieval accuracy. Our results show that IES-CBIR is probably safer, allowing existing proposals to be handled more efficiently in both time and space complexity and paving the way for new scenarios of practical application.Keywords: - Encrypted Data Processing; Searchable Encryption; Content-Based Image Retrieval, Cloud Storage.