REVIEW ON ENHANCEMENT IN OSN BY SPAM FILTERING AND DETECTION

Computer Engineering

Online social networks’ (OSNs) popularity has habitual users to the share information. At the same time, OSNs have been a focus on privacy with respect to the information shared. Therefore, it is important that users have little assurance when sharing on OSNs: popular OSNs give users with mechanisms, to protect shared information access right. However, these mechanisms do not allow collaboration or mixing when given access rights for joint content related to more than one user (e.g., party pictures in which more than one users are being tagged). In fact, the access rights list for these content is defined by the union of the access list represented by each related user, which could result in unwanted leakage or msg. We propose a collaborative access control method, based on secret information sharing, in which sharing of content on OSNs is decided comparative by the number of related users or the user which are connected to each others. We demonstrate that such mechanism is benefits users’ privacy on own space.

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