Main Reference PaperPrivacy-Preserving Multi-keyword Top-k Similarity Search Over Encrypted Data, IEEE Transactions on Dependable and Secure Computing, April 2017 -[python]
  • A novel and secure Multi-keyword Top-k Similarity Search method is proposed that maintains tree based index structure and random traversal algorithm to ensure privacy. To improve query efficiency, group multi-keyword top-k search scheme is proposed.

Description
  • A novel and secure Multi-keyword Top-k Similarity Search method is proposed that maintains tree based index structure and random traversal algorithm to ensure privacy. To improve query efficiency, group multi-keyword top-k search scheme is proposed.

  • To ensure the accuracy of the query processing without affecting privacy.

  • To improve query efficiency.

Aim & Objectives
  • To ensure the accuracy of the query processing without affecting privacy.

  • To improve query efficiency.

  • A technique is contributed that strongly protect against linkage attack.

Contribution
  • A technique is contributed that strongly protect against linkage attack.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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