Detecting Malicious Users in Social Network via Collaborative Filtering
Fatna Elmendili, Younès El Bouzekri El Idrissi, Habiba Chaoui · 2017
As social networking sites have risen in popularity, cyber-criminals started to exploit these sites to spread malwares and to carry out scams. Previous works has extensively studied the use of fake accounts that attackers set up to distribute spam messages (mostly messages that contain links to scam pages or drive-by download sites). Fake accounts typically exhibit highly anomalous behavior, and hence, are relatively easy to detect. As a response, attackers have started to compromise and abuse legitimate accounts.