Privacy preserving on social networks

Abstract

Thanks to online social networks services such as Facebook, Twitter, YouTube, etc...., users have the opportunity to communicate easily without constraints by providing them with free and open platforms. Because of their crucial role in spreading information between users, these platforms have become an integral part of everyday life. Privacy and security are major concerns for many social media users. When users share information (such as data, photos etc....) with their friends, they are not always safe; they can make their friends easy targets attacked by malicious users who try with multiple methods to access their personal data. Unfortunately, with the continued expansion of a user's social network, privacy settings alone are often insufficient to protect the user's profile. In this paper, we have proposed a new approach to limit the spread and dissemination of spam content and malicious profiles in social networks. In another way, prohibit the creation of malicious profiles by automated robots as well as the falsification of identity when publishing spam content in social networks. Given that when using online social networking services, users trust them to process their information; have seen that it is necessary not to neglect this part; but rather to make a set of changes that will be consistent with our proposal to strengthen the protection of personal data of users of these platforms.