Social Media Fake Profile Detection Technique Based on Attribute Estimation and Content Analysis Method
Nitika Kadam1, Harish Patidar2
1Nitika Kadam, Bachelor of Engineering, Computer Science from LNCT Indore.
2Harish Patidar, Bachelor of Engineering, Computer Science and Engineering discipline, MIT Ujjain.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 4534-4539 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8417038620/2020©BEIESP | DOI: 10.35940/ijrte.F8417.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Social media is a virtual place where every age group members are available. Members are using this platform to share knowledge and information. But some of them are misuse and abuse the services of social media. In order to perform malicious activities the users and BOTs are creating fake profile, these profiles are used for spreading the unsolicited and malicious contents. Therefore the proposed work is motivated to study about the social media platform and it’s security and privacy challenges. In this context, the recent year’s progress in the domain of social media is explored, and the literature is collected and categorized according to the area of work. Among them concepts of profile attribute evaluation and the content analysis based techniques are most promising. Therefore by using the concept of both the kinds of technique a new model is tried to design and their functional aspects are discussed. In near future the proposed working model is implemented and their performance is demonstrated.
Keywords: Social Media Analysis, Security And Privacy, Fake Profile Detection, Data Mining And Techniques, Survey.
Scope of the Article: Data Mining.