Content Filtering on Social Networking Sites with Fuzzy Logic

G. N. Purohit, Priti Singh, Praveen Dangi


Social Networking Sites (SNSs) provide an online platform that is used by people to build social networks or social relations with other people. Many users are not aware of the hidden threats to privacy that exist while using these SNSs. There has been a growing concern regarding these threats in general and among researchers in particular. The present study is a novel attempt to devise a measure to overcome these threatsusing fuzzy logic and IDPS(Intrusion Detection and Prevention System).This study is helpful in achieving twin objectives-(i)  establishing through survey and fuzzy logic, that people are aware of the potential threats in using SNSs and (ii)  helping them in securing their accounts by using the IDPS technique. Thus, it is hoped that the current study will be useful to society at large in providing more secure social networking sites.

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