Effective Data Leakage Detection on Cloud

Researchers have proposed several mechanisms to secure data from unauthorized use but there is very less work in the field of detecting and managing an authorized or trustworthy agent that has caused a data leak to some third party advertently or unknowingly on internet. In this paper, we implement methods aimed at improving the odds of detecting such leakages when a distributer’s sensitive data has been leaked by trustworthy agents and also to possibly identify the agent(s) that leaked the data on online system (cloud). We also implement some data allocation strategies that can improving the identification of leakages and can also be used to assess the likelihood of a leak at a particular agent assuming the fact that the data was not simply guessed by the third party where the leaked data set has been found. We propose new system on cloud for finding the leakages, We also propose new allocation strategies that work on the basis of Non-waiting model agent do not need to wait for other agents’ allocation and it is different from already proposed model that makes an agent wait for others. These methods do not depends on the alterations of the distributed data, but certain focus on minimizing the overlapping of the allocated data items to various agents, thus facilitating an exact decision of the guilty agent in a particular data leakage scenario.