Detection and Prevention of Profile Cloning in Online Social Networks
Naresh Kumar, Poonam Dabas, Komal · 2019
In today's world, online social networking sites are becoming quite popular. They influence the way people communicate with each other. Social Sites like Facebook, Twitter, LinkedIn, and Google have tens or hundreds of millions of users across the globe that generates billions of personal data content. With such a huge amount of data available there is always a fear of this data being stolen or misused by some kind of adversaries or attackers. Hence such huge amount of data generates security and privacy threats to the users worldwide. These can be Identity Theft Attack (profile cloning) or may be some kind of Malware Attacks or Structural Attacks. Profile cloning is a kind of stealing identity of existing user to duplicate or to create a duplicate profile of a user using these credentials. In this paper an attempt has been made to propose a methodology for detection of profile cloning in various social networks. Also, we tried to suggest some measures that can be followed by the users and OSN providers to protect the users from these kinds of attacks.