Rule-Based On-the-fly Web Spambot Detection Using Action Strings
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 act like humans in order to fool safeguards and other users. Such spam content...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
CEAS
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/39924 |
| _version_ | 1848755727009579008 |
|---|---|
| author | Hayati, Pedram Potdar, Vidyasagar Talevski, Alex Smyth, William |
| author2 | D Sculley |
| author_facet | D Sculley Hayati, Pedram Potdar, Vidyasagar Talevski, Alex Smyth, William |
| author_sort | Hayati, Pedram |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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 act like humans in order to fool safeguards and other users. Such spam content not only wastes valuable resources and time but also may mislead users with unsolicited content. Spam content typically intends to misinform users (scams), generate traffic, make sales (marketing/advertising), and occasionally compromise parties, people or systems by spreading spyware or malwares. Current countermeasures do not effectively identify and prevent web spambots. Proactive measures to deter spambots from entering a site are limited to question/response scenarios. The remaining efforts then focus on spam content identification as a passive activity. Spammers have evolved their techniques to bypass existing anti-spam filters. In this paper, we describe a rule-based web usage behaviour action string that can be analysed using Trie data structures todetect web spambots. Our experimental results show the proposed system is successful for on-the-fly classification of web spambots hence eliminating spam in web 2.0 applications. |
| first_indexed | 2025-11-14T09:00:54Z |
| format | Conference Paper |
| id | curtin-20.500.11937-39924 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:00:54Z |
| publishDate | 2010 |
| publisher | CEAS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-399242017-01-30T14:38:09Z Rule-Based On-the-fly Web Spambot Detection Using Action Strings Hayati, Pedram Potdar, Vidyasagar Talevski, Alex Smyth, William D Sculley 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 act like humans in order to fool safeguards and other users. Such spam content not only wastes valuable resources and time but also may mislead users with unsolicited content. Spam content typically intends to misinform users (scams), generate traffic, make sales (marketing/advertising), and occasionally compromise parties, people or systems by spreading spyware or malwares. Current countermeasures do not effectively identify and prevent web spambots. Proactive measures to deter spambots from entering a site are limited to question/response scenarios. The remaining efforts then focus on spam content identification as a passive activity. Spammers have evolved their techniques to bypass existing anti-spam filters. In this paper, we describe a rule-based web usage behaviour action string that can be analysed using Trie data structures todetect web spambots. Our experimental results show the proposed system is successful for on-the-fly classification of web spambots hence eliminating spam in web 2.0 applications. 2010 Conference Paper http://hdl.handle.net/20.500.11937/39924 CEAS fulltext |
| spellingShingle | Hayati, Pedram Potdar, Vidyasagar Talevski, Alex Smyth, William Rule-Based On-the-fly Web Spambot Detection Using Action Strings |
| title | Rule-Based On-the-fly Web Spambot Detection Using Action Strings |
| title_full | Rule-Based On-the-fly Web Spambot Detection Using Action Strings |
| title_fullStr | Rule-Based On-the-fly Web Spambot Detection Using Action Strings |
| title_full_unstemmed | Rule-Based On-the-fly Web Spambot Detection Using Action Strings |
| title_short | Rule-Based On-the-fly Web Spambot Detection Using Action Strings |
| title_sort | rule-based on-the-fly web spambot detection using action strings |
| url | http://hdl.handle.net/20.500.11937/39924 |