A Survey of Malicious Accounts Detection in Large-Scale Online Social Networks

As a virtual community and online platform, people can share different views, ideas, and experiences freely on social networks. Due to popularity of online social networks (OSNs) such as Facebook, Twitter etc., malicious accounts gain improper benefits through abuse of social network services, and malicious accounts detection is increasingly becoming a focus in the field of OSNs security research. In this paper, we give a detailed review in various types of malicious accounts detection methods in large-scale OSNs. We present most common methods based on user behavior analysis and OSNs structure. It also discusses major challenge relating malicious accounts detection.