期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：10209
DOI：10.15680/IJIRCCE.2017.0505335
出版社：S&S Publications
摘要：In this era, there is an increasing wave of image sharing & fake accounts via social media sites. Thoughimage sharing is the need of users or most favorite activity of users on social networking sites, ensuring the privacy ofimages is becoming critical. When the peoples are communicating with each other, they are sharing their professional,personal & political data with each other. The malicious entities attracts towards such information & fake people tryingto exploit the vulnerabilities on the social networking sites. There have been many recent reported occurrences whereusers unintentionally shared personal data. By looking at the increasing rate of such incidents there is a high need fortools to provide privacy to the content that user share on social media sites. For this need, we tend to propose a systemwhich recommends Privacy Policies for user-uploaded images on social media sites and easily detect fake account. Wetend to examine the role of social context, image content, and Metadata as potential indicators of user’s privacypreferences. We tend to propose a two-level framework that in keeping With the users accessible history determines themost efficient privacy policy for the user’s pictures being uploaded. We also propose Decision Voting system torecommend the Privacy Policies at the individual level for the further security of images, Image Encryption isproposed. This ensures Conflict Resolution while assigning the policies at the individual level.
关键词：Fake account detection; Social media; Content sharing sites; Privacy; Meta data; Content-Based;Classification system; Fake user detection algorithm.
