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Paper Title : IMPROVED AND DYNAMIC DISTANCE MEASURE ALGORITHMS TO DETECT FAKE AND CLONE SOCIAL NETWORKING ACCOUNTS

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7323226

Authors: Dr K Jayarajan, Muppaneni Yukthika, Murari Bhargavi, Musku Samskruthi

         


Abstract
Online Social Network (OSN) is a network hub where people with similar interests or real world relationships interact. As the popularity of OSN is increasing, the security and privacy issues related to it are also rising. Fake and Clone profiles are creating dangerous security problems to social network users. Cloning of user profiles is one serious threat, where already existing user’s details are stolen to create duplicate profiles and then it is misused for damaging the identity of original profile owner. They can even launch threats like phishing, stalking, spamming etc. Fake profile is the creation of profile in the name of a person or a company which does not really exist in social media, to carry out malicious activities. In this paper, a detection method has been proposed which can detect Fake and Clone profiles in Twitter.

Reference
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Keywords
— IMPROVED AND DYNAMIC DISTANCE MEASURE ALGORITHMS TO DETECT FAKE AND CLONE SOCIAL NETWORKING ACCOUNTS