A Novel Secure Data Deduplication Framework for End-to-End Encrypted Documents Using Attribute Based Keyword Search

Abstract: With the exponential growth of cloud-based document storage, efficient and secure data management has become a crucial requirement. This paper presents a novel secure data deduplication framework that operates seamlessly over end-to-end encrypted documents. The proposed framework integrates Ciphertext-Policy Attribute-Based Encryption (CP-ABE) with an Attribute-Based Keyword Search (ABKS) mechanism to enable fine-grained access control and efficient encrypted search. We introduce a secure token-based deduplication method that detects redundant files without revealing file content or search keywords to the cloud server. Extensive security and performance analyses demonstrate that our solution preserves data confidentiality, resists leakage during keyword queries, and significantly reduces storage and computation costs.

Keywords: ABKS, Proxy server, deduplication, cloud storage.