Modeling and Detection of Data Leakage Fraud
Nageswarrao Vungarala · IOSR Journal of Computer Engineering · 2012
Protecting sensitive data when that is in rest or in transit is essential.This paper addresses a problem which is discussed here.A distributor is supposed to send his private data to other person or party through his trusted agents (human beings).When trusted agents leak data for monetary gains and that is found in some other person's laptop or over Internet, the distributor should be able to identify leakage and also establish the identity of the leaked person.For leakage detection traditionally watermarking is used effectively.However, watermarking causes the source content to be modified as watermarking content is embedded.The aim of this paper is to detect leakage without the need for modification of source content.This paper proposes data leakage strategies personalized for agents for improving the chances of leakage detection.We also use fake objects along with original objects to improve the probability of detecting leakage further.The empirical results tested with a prototype application revealed that the proposed strategies are efficient and can be used in real time applications.