Survey on Image Authentication and Privacy in Public Networks

The number of people using social networking sites such as Facebook, Twitter, Instagram, and LinkedIn over the last couple of years has increased dramatically. On the one hand, these online communication sites have offered a lot of options for users to communicate and interact with each other. On the other hand, social networks raise concerns about privacy and security among internet users. In gaining an understanding of the unknown risks associated with the exposure of their content and information in this space as a result of its unchecked publication and sharing, users can better protect themselves against various forms of online attacks and be able to moderate its influence and adapt to evolving technologies. As people have become more dependent on social media and the Internet, they have developed negative traits that have led some to commit crimes. Due to multiple shortcomings, information security has become a major issue in today's society. While classifying the images, the main obstacles will be on achieving intra-class variation, size variation, occlusion, lighting, and background clutter. This research paper intends to present a detailed survey about various methodology implementations by previous researches for OSN privacy management and control using AI algorithms.