• Veena M S
• Shobha Rani N R
• Revathi B

Secure data deduplication can drastically reduce communication and storage overheads in cloud storage services in a society driven by big data. The bulk of data deduplication methods in use today either aim to withstand brute-force attacks or to ensure data efficiency and availability, but not both. Furthermore, to our knowledge, there is no existing project that encourages accountability by reducing the dissemination of unnecessary information (e.g., to determine whether plaintexts of two encrypted messages are identical). In this study, we investigate a three-tier cross-domain architecture and propose an efficient and privacy-preserving huge data deduplication in cloud storage (hereafter referred to as EPCDD). EPCDD safeguards privacy and guarantees data accessible while preventing brute-force attacks. Accountability is another factor we take into account while trying to offer better services. Then, we demonstrate that EPCDD outperforms currently employed rival techniques in terms of computing, communication, and storage overheads. The temporal complexity of the EPCDD duplication search is also logarithmic.

Deduplication, Security, Storage, Communication

"Beneficial and Safe De-duplication for Block-Level Data in Public Clouds ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.j712-j718, July-2023, Available :http://www.jetir.org/papers/JETIR2307990.pdf

"Beneficial and Safe De-duplication for Block-Level Data in Public Clouds ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppj712-j718, July-2023, Available at : http://www.jetir.org/papers/JETIR2307990.pdf