Main Reference PaperAchieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud, IEEE Transactions on Big Data, June 2017 [Java].
  • An efficient and privacy-preserving, brute-force attacks resilient big data deduplication in cloud storage named as EPCDD is proposed with assured data availability and it provides overall efficiency over the existing schemes. 

+ Description
  • An efficient and privacy-preserving, brute-force attacks resilient big data deduplication in cloud storage named as EPCDD is proposed with assured data availability and it provides overall efficiency over the existing schemes. 

  • To ensure resistance against brute-force attacks and the efficiency and data availability.

  • To ensure privacy and accountability.

+ Aim & Objectives
  • To ensure resistance against brute-force attacks and the efficiency and data availability.

  • To ensure privacy and accountability.

  • A technique of block level deduplciation is contributed to improve the efficiency further in big data.

+ Contribution
  • A technique of block level deduplciation is contributed to improve the efficiency further in big data.

  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1, & J2EE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1, & J2EE.

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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