An N-Gram Analysis Approach for Sharing of Authentication of Data Using Model Based Techniques

Authors

  • S. Praveen Kumar
  • Y. Srinivas
  • K. Bhargav

Abstract

A data breach is the deliberate or involuntary disclosure of private information to illicit parties. In the present digital world, data has become one of the most vital components of an enterprise. Data leakage poses severe intimidation to organizations, including significant reputational harm and monetary losses. As the magnitude of data is mounting exponentially proportionately the frequency of data breaches have increased drastically. Therefore, it is necessary to propose methods which help in effectual detection of the breaches and thereby assisting the enterprises to overcome data losses. In spite a plethora of research efforts on protecting perceptive information from being leaked, it still remains as a dynamic research problem. This article address this issue by proposing a model based on N-Gram analysis together with statistical mixture model.

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Published

2020-02-07

Issue

Section

Articles