A Technique to improve Security of Data in Multilevel Trust

Provided by: Indian Journal of Computer Science and Engineering (IJCSE)
Topic: Big Data
Format: PDF
The privacy preserving data mining technique that is used widely to conserve security of data is a random perturbation method. The original data is modified and many copies are created according to the trust levels in each field. The addition of noise level also varies with each trust level. The amount of noise added to the lower order trust level is less, whereas it is high in the higher order trust level. There is a chance for the hackers to reconstruct the original data with some non linear techniques. This challenge is addressed by the proposal of a novel non linear technique.

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