• Suraj Hole
• Pooja Patil
• Kishore Nair
• Prof. Shamal Kashid

Data deduplication will significantly reduce the communication and storage overheads in cloud storage services, and has potential applications in our huge data-driven society. Existing data deduplication schemes are generally designed to either resist brute-force attacks or make sure the efficiency and data availability, however not each conditions. We have a tendency to also be not conscious of any existing theme that achieves responsibility, within the sense of reducing duplicate data revelation in this paper, we have a tendency to investigate a three-tier cross-domain design, associate degree propose an efficient and privacy-reserving huge information deduplication in cloud. EPCDD achieves each privacy-preserving and data deduplication, and resists brute-force attacks. Additionally, we have a tendency to take responsibility into thought to supply higher privacy assurances than existing schemes. We have a tendency to then demonstrate that EPCDD outperforms existing competitive schemes, in terms of computation, communication and storage overheads. Also in this project dynamic operation user can perform data modification, data deletion and updating .After updating it sends file to local manager for checking deduplication if file is not duplicate then store file on cloud, and duplicate file will get proof of Ownership. This scheme will achieve the privacy preserving and cross domain big data deduplication in cloud. Additionally, the time complexness of duplicate search in EPCDD is index.

Secure data deduplication, big data, brute-force attacks, data availability, and accountability.

"Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.276-280, May-2019, Available :http://www.jetir.org/papers/JETIR1905L38.pdf

"Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp276-280, May-2019, Available at : http://www.jetir.org/papers/JETIR1905L38.pdf