Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency
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Web spam is an escalating problem that wastes valuable resources, misleads people and can manipulate search engines in achieving undeserved search rankings to promote spam content. Spammers have extensively used Web robots to distribute spam content within Web 2.0 platforms. We referred to these web robots as spambots that are capable of performing human tasks such as registering user accounts as well as browsing and posting content. Conventional content-based and link-based techniques are not effective in detecting and preventing web spambots as their focus is on spam content identification rather than spambot detection. We extend our previous research by proposing two action-based features sets known as action time and action frequency for spambot detection. We evaluate our new framework against a real dataset containing spambots and human users and achieve an average classification accuracy of 94.70%.
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Hayati, Pedram; Potdar, Vidyasagar; Talevski, Alex; Chai, Kevin (2011)The growth of spam in Web 2.0 environments not only reduces the quality and trust of the content but it also degrades the quality of search engine results. By means of web spambots, spammers are able to distribute spam ...
Hayati, Pedram; Potdar, Vidyasagar; Talevski, Alex; Smyth, William (2010)Web spambots are a new type of internet robot that spread spam content through Web 2.0 applications like online discussion boards, blogs, wikis, social networking platforms etc. These robots are intelligently designed to ...
Hayati, Pedram; Potdar, Vidyasagar; Chai, Kevin; Talevski, Alex (2010)Web robots have been widely used for various beneficial and malicious activities. Web spambots are a type of web robot that spreads spam content throughout the web by typically targeting Web 2.0 applications. They are ...