A System to Filter Unwanted Messages from OSN User Walls Using Inference Attacks on Social Networks
Supriya Sukhdev Kadam, Pooja Laxman Bhoyar, Kiran Pandit Sarode, Sayali Annasaheb More, Sandeep R. Pandit · International journal of advance research and innovative ideas in education · 2016
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, we propose a system allowing OSN users to have a direct control on the messages posted on their walls. We explore 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 we have 3 different techniques which can be used in such situations.