A SYSTEMATIC RESEARCH ON SECURE DEDUPLICATION SUPPORT SYSTEM FOR ATTRIBUTE-BASED STORAGE IN CLOUD

The contemporary challenge in cloud computing lies in reconciling two often conflicting mandates: enforcing fine-grained data confidentiality through Attribute-Based Encryption (ABE) and achieving storage efficiency via data deduplication. Standard ABE systems fail to support secure deduplication because identical plaintext files, when encrypted under different access policies, yield cryptographically distinct ciphertexts, thereby eliminating the possibility of recognizing duplicate copies. This research presents the design and architecture of an attribute-based storage system that successfully integrates secure deduplication within a hybrid cloud environment. The proposed system employs Ciphertext-Policy ABE (CP-ABE) and achieves the standard notion of semantic security for data confidentiality, a critical advantage over systems utilizing weaker security models. The core innovation is a methodology that allows for the modification of a ciphertext, transforming it from one access policy to another without revealing the underlying plaintext, thus enabling secure deduplication and substantial savings in storage space and network bandwidth.