Online Spammer Detection using User-Neighbor Relationship
Sihyun Jeong, Chong-kwon Kim · 2018
Today, online social media is being used as a primary means of interaction among people rather than any other communication medium. People use social media for socializing and collecting and sharing information, which presumes online social media is always reliable. However, there are a lot of advertisements or cyberattacks that take advantage of the impact of online social media. For example, spam, phishing, and advertising through influence manipulation. They are not only directly damaging users, but they are also giving indirect damages that will cause damage to the credibility of online social media to decline. We (1) propose measurements for online social status to identify the attackers in online social media and (2) analyze the difference in the manner in which a normal user and an attacker make a neighbor relationship.