Detecting Compromised High-Profile Accounts on Social Networks

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 le...

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Bibliographic Details
Published in2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT) pp. 1 - 4
Main Authors Phad, Pooja V., Chavan, M. K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2018
Subjects
Compromised Account
Computational modeling
Computer science
Facebook
Feature extraction
High-Profile Account
Social Network
Twitter
Web pages
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Summary: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.
DOI:10.1109/ICCCNT.2018.8493851