Now a day’s use of social networking sites like Instagram, Facebook, Twitter, has increased due to its popularity on network for Communication and maintaining relationship among various users. Each user that uses the social networking sites will make its profiles and upload its private information. These social networks users are not aware of numerous security risks included in these networks like privacy and identity theft. To overcome these kind of threats, an attempt has been made in this paper to identify fake posts in instagram social networks. To identify fake posts, grade-based approach is proposed in which grade of fake profiles are distinguished from genuine profiles. The proposed mechanism is analyzed using Weka tool with performance metrics like Precision, recall, F-measure and ROC curves. The results show that proposed mechanism detects more fake posts.

Fake Posts, Fake Profile, Instagram, Online Social Networks, and Weka.

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