Tracking Digital Assets with Canary Token

Abstract

Data leakage at the computer level has been present since computers came up  in the workplace. In recent years, considering the economic and noneconomic costs that this type of malicious insider attack entails, many methods and techniques have been proposed to solve this problem. Among the key reasons to implement data loss prevention mechanisms in an organization are compliance with established regulations and the protection of intellectual property. Data Loss Prevention (DLP, Data Loss Prevention) arose as a response to seeking preventive solutions to attacks by internal attackers whose objective is data leakage. It is important to implement Data Loss Prevention but, like everything related to data security and privacy, it is not a silver bullet for data leaks. For this reason, there is still a need to be able to detect these types of attacks as early as possible in order to minimize the damage and apply the respective contingency plans. Through file tracking with a canary token, it is pretended to detect data leak attacks.