Study on FR Mechanism for User Privacy Protection on Social Networking Websites: An Overview. .

As the technology is progressing day by day, so is the numeral of safekeeping issues related to online social networking sites are growing. In this era, online social networks (OSNs) have prolonged a lot of fame around the globe. The OSN users share photos, videos and countless similar media, which at times are a big privacy issues for other users on OSN’s. The privacy fears rise while certainusers update information of other users on social networking websites, which can be immaterial, or somebody wanted it to hide from others or kept it undisclosed. Such sort of information maycomprise of users images, his/her status updates, his/her videos, etc. The main objective of study of this paper is to deal with various kind techniques that can be used to solve the problem of safety related concerns of online social networks. The whole emphasis has been curiouslyplaced on the multiple entity-based images shared by the users, which comprise of privacy related issues. From the time when the decision on photo posting includesgroups in the circle (the most likely scenario) and it is dispersed in nature, our difficulty can be distorted to be a characteristic secure multi- party computation problem. Instinctively, we may ask cryptographic technique to protect privacy related issues, but the computational and communication cost may pose a severe problem for a large Online Social Networks. Apart from cryptographic approach, we may take the consensus-based approach as a promising alternative. The idea to let both user only deal with his/her local data and get the local training result, and then the neighboring users only need to exchange their training results. In the following round, each user still works on his own training data, but take the training results from his/her neighbors as references. We assume that the information will be spread over the OSN and everybody involved will extendthe same conclusion. - See more at: .