Data Leakage Detection Model for Finding Guilty Agents

J.P.Chavan, Ashwini Choutmol, Rahul Shelke, Satish Shelar

Abstract: The following problem may occur in real world scenario: A data distributor has given sensitive data to a set of trusted agents (third parties or third persons). It may happen that some of the data is leaked and found in an unauthorized place (e. g. ; on the web or unauthorized persons laptop). The distributor must assess the probability of specified outcome that the leaked data came from one or more agents. In this paper; we implement methods aimed at improving the odds of detecting such leakages when a distributers sensitive data has been leaked by trustworthy agents and also to possibly identify the agent that leaked the data. By adding fake objects to distributed set; the distributor can find the guilty party.

Keywords: guilty agents, data distributor, data leakage, fake records, leakage detection

How to Cite?: J.P.Chavan, Ashwini Choutmol, Rahul Shelke, Satish Shelar, "Data Leakage Detection Model for Finding Guilty Agents", Volume 3 Issue 5, May 2014, International Journal of Science and Research (IJSR), Pages: 992-994, https://www.ijsr.net/getabstract.php?paperid=20131946, DOI: https://dx.doi.org/10.21275/20131946