Data Leakage Detection Using Secret Key Exchange

Data leakage is a significant problem in many industries and institutions. While there are different methods for protecting data using various encryption algorithms, this technology doesn't provide complete security. In some cases, a data distributor may give sensitive data to trusted agents (third parties), and some of the data may be leaked in an unauthorized place. In such cases, the distributor must assess the likelihood that the leaked data came from one or more of the agents, as opposed to having been independently. This paper proposes strategies for allocating data across agents to improve the probability of identifying leaks in the event of data leakage. The proposed methods do not rely on altering the released data like watermarks. Instead, they focus on distributing the data in a way that makes it easier to identify the source of the leak. The paper highlights that data leakage is a significant problem that can lead to a loss of money, damage to reputation, and more. It can occur due to security vulnerabilities, poor data protection practices, or accidentally by a user. Therefore, it's essential to take measures for avoiding data leakage and protect data. Using the proposed strategies, the distributor can improve chances of identifying the source of the leak and taking appropriate action to prevent data leakage.