Spam Link Detection using Graph Mining

Mining Page Farms and Its Application in Link Spam Detection

Understanding the general relations of Web pages and their environments is important with a few interesting applications such as Web spam detection. In this thesis, we study the novel problem of page farm mining and its application in link spam detection. A page farm is the set of Web pages contributing to (a major portion of) the PageRank score of a target page. We show that extracting page fa...

Outlier Detection using Graph Mining

SpamRank -- Fully Automatic Link Spam Detection

Spammers intend to increase the PageRank of certain spam pages by creating a large number of links pointing to them. We propose a novel method based on the concept of personalized PageRank that detects pages with an undeserved high PageRank value without the need of any kind of white or blacklists or other means of human intervention. We assume that spammed pages have a biased distribution of p...

A link graph-based approach to identify forum spam

Web spammers have taken note of the popularity of public forums such as blogs, wikis, webboards, and guestbooks. They are now exploiting them with the purpose of driving traffic to their malicious or fraudulent websites, such as those used for phishing, distributing malware, or selling counterfeit pharmaceuticals. A popular technique they use is to spam these forums with URLs to their spam webs...

Discriminative Topic Mining for Social Spam Detection

In the era of Social Web, there has been an explosive growth of user-contributed comments posted to various online social media. However, increasingly more misleading and deceptive user comments found at online social media have also been a great concern for consumers and merchants, and social spam have been brought to the attention by the legal circle in recent years. Social spam can cause tre...