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Malicious Detection of Public Posts in Facebook App

Author(s):

S Shanmuga Srinivas , KMM INSTITUTE OF POSTGRADUATE STUDIES; JS Ananda Kumar, KMM INSTITUTE OF POSTGRADUATE STUDIES

Keywords:

Facebook, (OSN) Online Social Networks

Abstract

Nowadays among on-line Social Networks (OSN), Facebook is that the widespread one and it's used by one.5 billion people across the world. Hackers are finding several new ways in which to propagate spam and malware on these platforms, which we refer to as social malware. They'll simply access the personal details. Social malware cannot be known with existing security mechanisms. Facebook app known as My Page Keeper is employed to guard Facebook users from social malware. The tool will find malicious apps with complete accuracy. The target of this project is to find malicious application and block those applications in Facebook exploitation the enforced tool under the set of constraints. Offensive words are detected and blocked exploitation dictionary. There's already an outline given regarding simply finding malicious app however not on blockage of offensive words or posts. It provides solely a high-level summary regarding threats to the Facebook graph. The most disadvantage of existing system is security is missing. In proposed system sure techniques are enforced find the Offensive words or any posts, and lexicon detects the words. These words cannot show publically wall. Rather than that such post are automatically migrated to blocked post list. The user will read it secretly and conjointly a warning mail is send to user. It is safe and secure. Unessential information won't be extra in our wall. So the Offensive words and posts are blocked with the help of dictionary exploitation filters and it’s not in public announce to user wall.

Other Details

Paper ID: IJSRDV6I10601
Published in: Volume : 6, Issue : 1
Publication Date: 01/04/2018
Page(s): 878-881

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