Content – Based Message Filtering in On-Line Social Network

On-line Social Networks (OSN's) have experienced tremendous growth in recent years and become a de facto portal for hundreds of millions of Internet users. These OSN's offer attractive means for digital social interactions and information sharing, but also raise a number of security and privacy issues. While OSN's allow users to restrict access to shared data, they currently do not provide any mechanism to enforce privacy concerns over data associated with multiple users. This project proposes a system enforcing content-based message filtering conceived as a key service for On-line Social Networks. The system allows the OSN's users to have a direct control on the messages posted on their walls. This is achieved through a flexible rule-based system, that allows a user to customize the filtering criteria to be applied to their walls, and Machine Learning based soft classifier automatically producing membership labels in support of content-based filtering.