PRIVACY-PRESERVING PHOTO SHARING FRAMEWORK FOR SOCIAL MEDIA

Abstract

Social media is a big part of our daily lives now that it's so easy to share special moments with friends and family. There is a sizable portion of the user base that is unaware of the potential privacy issues that can arise from the careless sharing of personal images. It is challenging to ensure the security of private information while also making sharing easy, because existing privacy solutions, such as encryption and access restrictions, have their limitations. A more robust method for protecting shared images is developed in this paper by employing more advanced cryptographic techniques such as secure multi-party computing and homomorphic encryption. Users are able to control who can view and utilize their images using these ways, all while keeping the full picture hidden. Encrypted data and intricate access rules allow only authorized users to view specific portions of an image. While preserving privacy and practicality, this strategy makes social media interactions safer and more trustworthy. The approach may be a solution to the current issues with digital privacy since empirical investigations have demonstrated its efficacy and scalability. Giving users greater agency over their data in an era where it's pervasive, this research alters the meaning of securely sharing images on social media platforms.