Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency
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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Published: |
Springer
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/47466 |
| _version_ | 1848757841132781568 |
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| author | Hayati, Pedram Chai, Kevin Potdar, Vidyasagar Talevski, Alex |
| author2 | David Taniar |
| author_facet | David Taniar Hayati, Pedram Chai, Kevin Potdar, Vidyasagar Talevski, Alex |
| author_sort | Hayati, Pedram |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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%. |
| first_indexed | 2025-11-14T09:34:30Z |
| format | Book Chapter |
| id | curtin-20.500.11937-47466 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:34:30Z |
| publishDate | 2010 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-474662023-01-18T08:46:45Z Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency Hayati, Pedram Chai, Kevin Potdar, Vidyasagar Talevski, Alex David Taniar Osvaldo Gervasi Beniamino Murgante Eric Pardede Bernady O Apduhan spam 2.0 user behaviour Web 2.0 spam Web spambot detection 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%. 2010 Book Chapter http://hdl.handle.net/20.500.11937/47466 Springer restricted |
| spellingShingle | spam 2.0 user behaviour Web 2.0 spam Web spambot detection Hayati, Pedram Chai, Kevin Potdar, Vidyasagar Talevski, Alex Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency |
| title | Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency |
| title_full | Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency |
| title_fullStr | Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency |
| title_full_unstemmed | Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency |
| title_short | Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency |
| title_sort | behaviour-based web spambot detection by utilising action time and action frequency |
| topic | spam 2.0 user behaviour Web 2.0 spam Web spambot detection |
| url | http://hdl.handle.net/20.500.11937/47466 |