A REVIEW PAPER ON PROFILE CLONE DETECTION IN SOCIAL NETWORKS
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 7
Abstract
An online social network is used day by day. Social networking is one of the trendiest Internet behaviors, with billions of users from around the humanity. The times use up on public networking sites like facebook, twitter or LinkedIn is frequently increasing at a notable rate. At the similar time, peoples fill their online profile with an overload of information that aims at providing a complete and faultless representation of them. Attackers may duplicate a user’s online existence in the same or across dissimilar public networks and, therefore, deceive other users into forming credulous public interaction with the bogus profile.
Authors and Affiliations
Akshay Sharma
Keywords
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- DOI 10.5281/zenodo.57976
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