Main Reference PaperPrivacy-Preserving Fine-Grained Data Retrieval Schemes For Mobile Social Networks, IEEE Transactions on Dependable and Secure Computing, June 2017 [Java]
  • A novel and secure data retrieval scheme is proposed in mobile social networks in which users perform searchable encryption scheme while querying the topic in the interested subject. Without revealing the private details of the users, data retrieval is performed efficiently through Bloom filters.

+ Description
  • A novel and secure data retrieval scheme is proposed in mobile social networks in which users perform searchable encryption scheme while querying the topic in the interested subject. Without revealing the private details of the users, data retrieval is performed efficiently through Bloom filters.

  • To propose fine-grained privacy preserving data retrieval.

  • To reduce storage and communication overhead.

+ Aim & Objectives
  • To propose fine-grained privacy preserving data retrieval.

  • To reduce storage and communication overhead.

  • Modified bloom filter is used to reduce the overhead further.

+ Contribution
  • Modified bloom filter is used to reduce the overhead further.

  • Java JDK 1.8, MySQL 5.5.40, Cloudsim 3.0.3

  • Netbeans 8.0.1, & J2SE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40, Cloudsim 3.0.3

  • Netbeans 8.0.1, & J2SE.

  • 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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