Data Leakage Detection Using Encrypted Fake Objects
Data leakage is a budding security threat to organizations, particularly when data leakage is carried out by trusted agents. In this paper, the authors present unobtrusive techniques for detecting data leakage and assessing the "Guilt" of agents. Water marking is the long-established technique used for data leakage detection which involves some modification to the original data. To overcome the disadvantages of using watermark, data allocation strategies are used to improve the feasibility of detecting guilty agent. Distributor "Intelligently" allocates data based on sample request and explicit request using allocation strategies in order to better the effectiveness in detecting guilty agent.