Main Reference PaperA Trust-Based Privacy-Preserving Friend Recommendation Scheme for Online Social Networks, IEEE Transactions on Dependable and Secure Computing, July-Aug 2015.
  • In online social networks, a trust based friend recommendation system achieves based on the existing 1-hop trust relationships. In addition to improve the privacy of social users, this work propose two protocols such as: 1) secure social coordinate matching and 2)friend recommendation process. To achieve the secure social coordinate matching, secure kNN scheme is implemented. Based on the matching results of social coordinates and established trust relationships, recommenders determine their recommendation decision on whether continue to query their friends or not.

+ Description
  • In online social networks, a trust based friend recommendation system achieves based on the existing 1-hop trust relationships. In addition to improve the privacy of social users, this work propose two protocols such as: 1) secure social coordinate matching and 2)friend recommendation process. To achieve the secure social coordinate matching, secure kNN scheme is implemented. Based on the matching results of social coordinates and established trust relationships, recommenders determine their recommendation decision on whether continue to query their friends or not.

  • To protect the privacy of social networks.

  • To establish a trust based recommendation by trust of existing users

+ Aim & Objectives
  • To protect the privacy of social networks.

  • To establish a trust based recommendation by trust of existing users

  • A positive and negative recommendations is integrated with proposed technique to further enhance the security of social network. Thepositive recommendations will help in connecting trustworthy users while negative recommendations will alert users not to connect to the untrustworthy users and also making aware of the contents published by such user.

+ Contribution
  • A positive and negative recommendations is integrated with proposed technique to further enhance the security of social network. Thepositive recommendations will help in connecting trustworthy users while negative recommendations will alert users not to connect to the untrustworthy users and also making aware of the contents published by such user.

  • 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

  • 10 – 15 Days

+ Order To Delivery
  • 10 – 15 Days

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