A Dynamic and Automated Access Control Management System for Social Networks

In recent years, online social networks (OSNs) have become an essential part of our life. OSNs, users can post resources to predefined groups users, for example, family, friends, close friends. However, due these few irrelevant may get access published resources. Moreover, the cannot configure privacy settings lack technical knowledge and rigidity control management system. To tackle issues, we propose a text-based dynamic fine-grain system OSNs. Our proposed model uses clustering algorithm create user clusters based on mutual interests users. After clustering, creates automatic rules relationship between users’ their The will ensure fine-grained assignment policies We implemented gauge applicability, results are discussed in experiments section.