Predictive Model to Classify User Data Based on Sensitivity Level and Providing Security for Sensitive Data

Developing a Predictive Model for Secure Classification of Sensitive Data

Authors

  • Shashank H. K. P.G, Student, Department of Computer Network Engineering, Nitte Meenakshi Institute of Technology Author
  • Deepika K. M. Asst. Professor, Department of Information Science Engineering, Nitte Meenakshi Institute of Technology Author
  • Prof. Bini Y. Baby Asst. Professor, Department of Information Science Engineering, Nitte Meenakshi Institute of Technology Author

Keywords:

predictive model, classify, user data, sensitivity level, security, sensitive data, technology, data growth rate, store, manage, process, security mechanism, database, .sql extension

Abstract

With the advent of increasing technology, the data size is also growing rapidly. It is equivalent to say that the data growth rate is almost equal to the growth rate of technology. In such scenario, there is lot of data that has to be stored in some place and manage it. The real challenge lies in how actually to store such huge data, how to manage all the data, how to process the data, how to ensure the security of the data etc. The proposed work ensures a way to classify the database (.sql file) based on the sensitivity level and hence ensures proper security mechanism for the sensitive data. The proposed mechanism works for all kinds of databases with .sql extension.

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Published

2016-12-15