Secure Auditing and Deduplicating Data in Cloud

Abstract

Abstract: With the widespread adoption of cloud computing, ensuring the security and integrity of data stored in the cloud has become a critical concern. This paper presents a novel approach for achieving secure auditing and deduplication of data in cloud environments. The proposed method addresses the challenges of data integrity verification and duplicate elimination while preserving the privacy of the stored data. By leveraging cryptographic techniques, including homomorphic encryption and Merkle hash trees, the system enables efficient and privacy- preserving auditing of data integrity. Additionally, a deduplication mechanism is integrated to eliminate redundant copies of data, reducing storage costs and improving efficiency. The proposed solution provides end-to-end security guarantees, ensuring that data remains confidential, unaltered, and readily available for authorized users. Extensive experimental evaluations demonstrate the effectiveness and efficiency of the proposed approach, making it a promising solution for secure data management in cloud environments