Abstrato

AN EFFICIENT AND ROBUST MODEL FOR DATA LEAKAGE DETECTION SYSTEM

Janga Ajay Kumar and K. Rajani Devi

In every enterprise, data leakage is very serious problem faced by it. An owner of enterprise has given sensitive data to itsemployee but in most of the situation employee leak the data. That leak data found in unauthorized place such as on the web of comparator enterprise or on laptop of employee of comparator enterprise or the owner of comparators laptop. It is either observed or sometimes not observed by owner. Leak data may be source code or design specifications, price lists, intellectual property and copy rights data, trade secrets, forecasts and budgets. In this case the data leaked out it leaves the company goes in unprotected the influence of the corporation. This uncontrolled data leakage puts business in a backward position. To find the solution on this problem we develop two models. First, when any employee of enterprise access sensitive data without the consent of owner in that case ,we developed data watcher model to identifying data leaker and suppose employee given data outside the enterprise for that we devolved second model for assessing the “guilt” of agents. Guilt model are used to improve the probability of identifying guilty third parties.For implementing this system, we used SSBT’S COET, Bambhori, and Jalgaon college database. In this system we consider, data owner is college management called as distributor and other employee is called as agents. For that we considered two condition sample or explicit condition because agents want data in sample or condition