Main Reference PaperA Hybrid Privacy Protection Scheme in Cyber-Physical Social Networks, IEEE transactions on computational social systems, 2018 [Python].
  • The hybrid privacy protection scheme has taken account of identity and location privacy to provide the long-range privacy protection. It presents a modified state-action-reward-state-action (SARSA) reinforcement learning algorithm for reducing the convergence time.

Description
  • The hybrid privacy protection scheme has taken account of identity and location privacy to provide the long-range privacy protection. It presents a modified state-action-reward-state-action (SARSA) reinforcement learning algorithm for reducing the convergence time.

  • TTo improve the utility of data with top-level privacy protection

  • To protect both the location and the identity privacy

Aim & Objectives
  • TTo improve the utility of data with top-level privacy protection

  • To protect both the location and the identity privacy

  • A technique contributed to further by considering the complete privacy protection under a different scenario.

Contribution
  • A technique contributed to further by considering the complete privacy protection under a different scenario.

  • 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-project delivery Depending on the complexity of the project and requirements.

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

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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