TRI-Patternization on Generic Visualized Time Series Data

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Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
In the recent years, privacy preserving techniques have been actively studied in the time-series data in various fields like financial, medical, and weather analysis. The authors are focusing towards preserving the data through anonymity and generalization technique. They first investigate, what's the privacy to be incorporated at the time-series data and after finding the data which need to be preserved various perturbation terminologies were identified and worked out towards Secure Multi-party Computation (SMC) and encryption techniques in the distributed computing.
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