Journal of Applied Biological Sciences

Yazarlar: Shaista CHIRAGH, Nayyar IQBAL

Konular:-

Anahtar Kelimeler:Privacy Preserving,Data Mining,Randomization,K-Anonymity

Özet: The purpose of this research is to transform the data in original form that is in unsecured form while doing the mining procedure and protect different attacks that involve in privacy theft and work on preserving privacy in a better way. In recent years, quick developments in the field of privacy preserving monitors because of the progress in the skill to store data. Privacy preserving has become increasingly more general because it allows sharing of privacy sensitive data for investigation purpose. People today have become aware of the privacy conflicts of their sensitive data and are very doubtful to share data. Current techniques are different among each other with respect to number of conditions such as, data quality, privacy level and performance. These techniques face different types of difficulties like, homogeneity and background knowledge concerns. The main problem is the misuse of data and cause of data misuse is mining procedure. In this research work a hybrid methodology of k-anonymity and randomization was used for different privacy protective difficulties. The recommended approach secures individual information with no loss of data which makes ease of use of information.

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