Main Reference PaperPrivacy-Preserving Top-k Spatial Keyword Queries in Untrusted Cloud Environments, IEEE Transactions on Services Computing, 2016 [Java].
  • A novel privacy-preserving top-k spatial keyword query scheme PkSKQ is proposed that performs similarity computation between tree node and queries using effective techniques in untrusted cloud platform. It maintains encrypted tree index to maintain privacy.

+ Description
  • A novel privacy-preserving top-k spatial keyword query scheme PkSKQ is proposed that performs similarity computation between tree node and queries using effective techniques in untrusted cloud platform. It maintains encrypted tree index to maintain privacy.

  • To solve query problem by ensuring privacy in untrusted cloud platform.

  • To improve query performance through keyword and bloom filter based secure pruning.

+ Aim & Objectives
  • To solve query problem by ensuring privacy in untrusted cloud platform.

  • To improve query performance through keyword and bloom filter based secure pruning.

  • A scheme is contributed that improves the utility and flexibility to outsource and retrieve data in secure manner.

+ Contribution
  • A scheme is contributed that improves the utility and flexibility to outsource and retrieve data in secure manner.

  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1, & J2SE.

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

  • Netbeans 8.0.1, & J2SE.

  • B.E / B.Tech / M.E / M.Tech

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

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