• Ms. P.S. Khorgade
• Dr. Mrs. S. S. Sherekar
• Dr.V. M. Thakare

This paper has proposed a novel framework, named NetSpam, which utilizes spam features for modeling review data sets as heterogeneous information networks to map spam detection procedure into a classification problem in such networks. Using the importance of spam features helps us to obtain better results in terms of different metrics experimented on real-world review data sets from Yelp and Amazon Web Sites it impinges on a large proportion of the population and affects government service policies and people’s life quality. Typical welfare countries, such as Australia and Canada, have accumulated a huge amount of social security and social welfare data. Social networks have attracted billions of users and supported a wide range of interests and practices. Users of social networks can be connected with each other by different communities according to professions, living locations, and personal interests. Social media has gripped live in a dramatic way. Privacy protection of user data lying with the service provider need to be preserved when published for the purpose as the research as the release of sensitive personal information of an individual may pose security threats. Proposed approach has been validated using the data of real time social network twitter.

Social media, Social network, Spam review, Security, Privacy protection, inference attacks, sanitization techniques.

"SOCIAL MEDIA PROTECTION FRAMEWORK AGAINST THE VARIOUS ATTACKS USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.40-45, April-2019, Available :http://www.jetir.org/papers/JETIRBD06009.pdf

"SOCIAL MEDIA PROTECTION FRAMEWORK AGAINST THE VARIOUS ATTACKS USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp40-45, April-2019, Available at : http://www.jetir.org/papers/JETIRBD06009.pdf