Implementation of Guilt Model and Allocation Strategy for Data Leakage Detection

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Provided by: International Journal of Scientific and Research Publication (IJSRP)
Topic: Data Management
Format: PDF
A data distributor of an organization has hand over sensitive and confidential data to supposedly trusted third parties (agents). The data is leaked and is discovered in an unauthorized place. The paper presents a model which includes detecting the guilty agent by the means of data allocation strategy and agent guilt model for guilt probability calculation. Algorithms proposed for distributing data objects to agents, improves the authors chances of identifying a leaker. In certain scenario the idea of injecting realistic but fake data in real data is considered for further enhancing guilt probability.
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