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HoneySpam 2.0: Profiling Web Spambot Behaviour [chapter]

Pedram Hayati, Kevin Chai, Vidyasagar Potdar, Alex Talevski
2009 Lecture Notes in Computer Science  
To gain insights into web spambots, we developed a tool (HoneySpam 2.0) to track their behaviour.  ...  This paper presents two main contributions, firstly it describes the design of HoneySpam 2.0 and secondly we outline the experimental results that characterise web spambot behaviour.  ...  Our results illustrate that HoneySpam 2.0 is effective in profiling web spambots.  ... 
doi:10.1007/978-3-642-11161-7_23 fatcat:yyb5p6lvczcklhusta7gyd2nnm

Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency [chapter]

Pedram Hayati, Kevin Chai, Vidyasagar Potdar, Alex Talevski
2010 Lecture Notes in Computer Science  
Spammers have extensively used Web robots to distribute spam content within Web 2.0 platforms.  ...  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.  ...  In our previous work on HoneySpam 2.0 [4] , we propose a web tracking system to track spambot data. The dataset collected in HoneySpam 2.0 is used in this work.  ... 
doi:10.1007/978-3-642-12165-4_28 fatcat:ebqr4byn3vg6bplj2fxrhj3wty