Abstract: Access to various systems, services, and apps requires end users to share and protect their data, which is becoming an increasingly important component of daily life. In actual email services, data disclosure occurs regularly. Secure data transfer media have long been concerned with copyright protection and authentication of multimedia materials. Due to the growing usage of the Internet and other digital technologies, the issue has become increasingly urgent. It is more complicated and challenging to implement copyright protection, nevertheless. A remedy for the copyright protection issue was proposed: digital watermarking. Both watermarking and encryption are used in the suggested method that makes use of Geofences technology to facilitate effective material sharing. Watermarking is a technique for concealing data, such as secret information, in digital material like photographs. Data security is achieved using encryption techniques. In order to prevent unwanted access, information is encoded using encryption, making it impossible for those who are not allowed to view it. With the aid of the inbuilt data verification process, the decryption key can finally be extracted by an authorised user. When user information does not correspond with embedded information, unauthorised or unlawful access can be detected. This suggested application aids in identifying unauthorised access and preventing the re-distribution of content in an email context. Also, you may create a mechanism for acknowledging mail delivery, as well as group data sharing based on a rules-based approach employing machine learning.
Keywords: Data, Machine learning, Geofencing, Security.
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DOI:
10.17148/IJARCCE.2023.12418
