DATA LEAKAGE DETECTION USING DATA ALLOCATION STRATEGIES

In the proposed system, we study unobtrusive techniques for detecting leakage of a set of objects or records.We study the following problem: consider business process outsourcing (BPO). In many cases the service provider needs access to the company intellectual property and other confidential information to carry out their services. For example a human resources BPO vendor may need access to employee databases with sensitive information (social security numbers), a marketing service vendor to contact information for customers or a payment service provider may need to access the credit card numbers or bank account numbers. The main security problem in BPO is that the service provider may not be fully trusted or may not be securely administered. Due to digital nature, relational databases are easy to duplicate and in many cases a service provider may have financial incentives to redistribute commercially valuable data or may simply handle it properly. Hence, we need powerful techniques that can detect and deter such dishonest. So in this system, A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data may be leaked and may be found in an unauthorized place (e.g., on the web or somebody’s laptop). The distributor must assess the likelihood that the leaked data came from one or more agents, as opposed to having been independently gathered by other means. The paper proposes data allocation strategies (across the agents