HoneySpam 2.0: profiling web spambot behaviour
Internet bots have been widely used for various beneficial and malicious activities on the web. In this paper we provide new insights into a new kind of bot termed as web spambot which is primarily used for spreading spam content on the web. To gain insights into web spambots, we developed a tool (H...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Published: |
Springer
2009
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/12738 |
| _version_ | 1848748160403374080 |
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| author | Hayati, Pedram Chai, Kevin Potdar, Vidyasagar Talevski, Alex |
| author2 | Jung-JinYang |
| author_facet | Jung-JinYang Hayati, Pedram Chai, Kevin Potdar, Vidyasagar Talevski, Alex |
| author_sort | Hayati, Pedram |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Internet bots have been widely used for various beneficial and malicious activities on the web. In this paper we provide new insights into a new kind of bot termed as web spambot which is primarily used for spreading spam content on the web. 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. By profiling web spambots, we provide the foundation for identifying such bots and preventing and filtering web spam content. |
| first_indexed | 2025-11-14T07:00:38Z |
| format | Book Chapter |
| id | curtin-20.500.11937-12738 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:00:38Z |
| publishDate | 2009 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-127382022-12-09T05:23:41Z HoneySpam 2.0: profiling web spambot behaviour Hayati, Pedram Chai, Kevin Potdar, Vidyasagar Talevski, Alex Jung-JinYang MakotoYokoo Takayuki Ito Zhi Jin Paul Scerri honeyspam web usage mining spam detection web spambot web robot detection Internet bots have been widely used for various beneficial and malicious activities on the web. In this paper we provide new insights into a new kind of bot termed as web spambot which is primarily used for spreading spam content on the web. 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. By profiling web spambots, we provide the foundation for identifying such bots and preventing and filtering web spam content. 2009 Book Chapter http://hdl.handle.net/20.500.11937/12738 10.1007/978-3-642-11161-7_23 Springer restricted |
| spellingShingle | honeyspam web usage mining spam detection web spambot web robot detection Hayati, Pedram Chai, Kevin Potdar, Vidyasagar Talevski, Alex HoneySpam 2.0: profiling web spambot behaviour |
| title | HoneySpam 2.0: profiling web spambot behaviour |
| title_full | HoneySpam 2.0: profiling web spambot behaviour |
| title_fullStr | HoneySpam 2.0: profiling web spambot behaviour |
| title_full_unstemmed | HoneySpam 2.0: profiling web spambot behaviour |
| title_short | HoneySpam 2.0: profiling web spambot behaviour |
| title_sort | honeyspam 2.0: profiling web spambot behaviour |
| topic | honeyspam web usage mining spam detection web spambot web robot detection |
| url | http://hdl.handle.net/20.500.11937/12738 |