Detecting Compromised High-Profile Accounts on Social Networks
Pooja V. Phad, Manik K. Chavan · 2018
All Social networking sites, such as Facebook and Twitter, have become increasingly popular over the last few years. Nowadays, cyber-criminals have started to exploit these sites to spread malware and to carry out scams. Previous research showed that attackers have started to compromise and abuse legitimate accounts. High-profile legitimate accounts to spread fake information or malicious content are more advantageous to attackers, because high-profile accounts user having more followers and they react to messages coming from high-profile accounts. In this paper, we study the Behavior of user's, i.e. their usage of different type of stream features to post the message. A behavioral profile of user accurately reflects a user's message writing patterns. A behavioral profile of user capably distinguishes different users and our results shows behavioral profile of user differentiate individual users accurately and detect compromised accounts.