An Integrated Cryptographic Framework To Mitigate Insider Threats And Enhance Confidentiality In Cloud Storage Services

Cloud storage services have become ubiquitous in modern computing, offering scalable and cost-effective data storage solutions. However, the increasing prevalence of insider threats and confidentiality concerns presents significant security challenges. This paper proposes a comprehensive cryptographic framework that integrates multiple advanced cryptographic techniques to address these challenges. Our approach combines attribute-based encryption, homomorphic encryption, zero-knowledge proofs, and blockchain-based audit mechanisms to create a multi-layered security architecture. The framework implements fine-grained access control, ensures data confidentiality even during processing, and provides tamper-proof audit trails. Through theoretical analysis and experimental evaluation, we demonstrate that our framework significantly enhances security against insider threats while maintaining acceptable performance overhead. The proposed solution addresses critical gaps in current cloud storage security and provides a foundation for next-generation secure cloud services.