Efficient Filteration of Unwanted Messages in Social Networking Sites
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 12
Abstract
Social networking sites that facilitate communication of information between users allow users to post messages as an important function. Unnecessary posts could spam a user’s wall, which is the page where posts are displayed, thus disabling the user from viewing relevant messages. TES ensures the “reputation” of reporters by tracking how often the larger recipient community agrees with their assessment of a message. In addition, Trust Evaluation System (TES) uses an automated system of highly-proficient, fingerprinting algorithms. Advanced Message Fingerprinting maintains the privacy of the content and reduces the amount of data to be analyzed. Once a message fingerprint is cataloged as spam, all future messages matching that fingerprint are automatically filtered. Because a reputation-based collaborative system does not draw blanket conclusions about terms, hosts, or people, it has proven to increase accuracy, particularly as it relates to false positives and critical false positives, while simultaneously decreasing administration costs.
Authors and Affiliations
Gunduboina Penchalaiah, Mr. P Jagadeeswara Rao
Keywords
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