Enterprise Email Server Data Protection System using Geo-Fence Technology and Machine Learning

Data sharing and protection is becoming an increasingly important element of end users' daily life as they access various systems, services, and apps. Data disclosure often occurs in real-world email services. Verification and copyright protection of multimedia content has always been a huge problem for secure data transfer media. The problem is exacerbated by the increasing use of the Internet and digital technology. But, implementing copyright protection is very complex and difficult. Digital watermarking emerged as a best solution to the problem of copyright protection. In the proposed method using Geofence technology both the Watermarking and Encryption method is used to share active content. A geofence is a virtual boundary around a physical location. A Geofence could be built dynamically in the form of a radius around a spot. Watermarking is used to hide information such as hiding private information on digital media such as photos. Encryption techniques are used to provide data safety and security. By encryption, encrypted information prevents unauthorized access and unauthorized persons from reading it. Finally, the authorized user can extract the encryption key with the help of the entered data entry process. Unauthorized access can be detected, where user information does not match the embedded information. This proposed application helps to track unauthorized access and prevent the distribution of content in the email environment Also provide group data sharing based on legal process using machine learning algorithm and provide approval for the post delivery system. suppose any unauthorized access to the information is identified, a notification to the admin regarding the forgery will be sent.