A System to Filter Unnecessary Posts from OSN User Walls And Prevent Inference Attacks
A.A.Kothari , M.U.Kharat
Now a day’s social Networks are more popular. Users are using multiple applications for social media. Users post their comments on their private space to avoid that unwanted content is displayed. To overcome this problem, Author proposes a system allowing OSN users to have a direct control on the messages posted on their walls. The system explores how to prevent personal information using learning algorithm. This paper describes how to launch inference attacks using released social networking applications data to predict private information. Then author have 3 different techniques which can be used in such situations.
Online social networks, information filtering, short text classification, Sanitization Techniques, policy-based personalization.
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[A.A.Kothari , M.U.Kharat (2015) A System to Filter Unnecessary Posts from OSN User Walls And Prevent Inference Attacks IJIRCST Vol-2 Issue-4 Page No-71-76] (ISSN 2347 - 5552). www.ijircst.org
Computer Department MET’s BKC IOE, Nashik, Savitribai Phule Pune University, India email@example.com