Key Parameters in Identifying Cost of Spam 2.0
This paper aims to provide an analytical view in estimating the cost of Spam 2.0. For this purpose, the authorsdefine the web spam lifecycle and its associated impact. We also enlisted 5 stakeholders and focused on defining 5 cost calculations using a large collection of references. The cost of web...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE Computer Society
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/7546 |
| _version_ | 1848745399669489664 |
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| author | Ridzuan, Farida Potdar, Vidyasagar Talevski, Alex Smyth, William |
| author2 | Wenny Rahayu |
| author_facet | Wenny Rahayu Ridzuan, Farida Potdar, Vidyasagar Talevski, Alex Smyth, William |
| author_sort | Ridzuan, Farida |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper aims to provide an analytical view in estimating the cost of Spam 2.0. For this purpose, the authorsdefine the web spam lifecycle and its associated impact. We also enlisted 5 stakeholders and focused on defining 5 cost calculations using a large collection of references. The cost of web spam then can be calculated with the definition of 13 parameters. Detail explanations of the web spam cost impacts are given with regardsto the main four stakeholders: spammer, application provider, content provider and content consumer. Ongoing research in developing honey spam is also presented in this paper. |
| first_indexed | 2025-11-14T06:16:45Z |
| format | Conference Paper |
| id | curtin-20.500.11937-7546 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:16:45Z |
| publishDate | 2010 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-75462022-12-09T07:12:36Z Key Parameters in Identifying Cost of Spam 2.0 Ridzuan, Farida Potdar, Vidyasagar Talevski, Alex Smyth, William Wenny Rahayu Fatos Xhafa Mieso Denko cost of spam web spam This paper aims to provide an analytical view in estimating the cost of Spam 2.0. For this purpose, the authorsdefine the web spam lifecycle and its associated impact. We also enlisted 5 stakeholders and focused on defining 5 cost calculations using a large collection of references. The cost of web spam then can be calculated with the definition of 13 parameters. Detail explanations of the web spam cost impacts are given with regardsto the main four stakeholders: spammer, application provider, content provider and content consumer. Ongoing research in developing honey spam is also presented in this paper. 2010 Conference Paper http://hdl.handle.net/20.500.11937/7546 10.1109/AINA.2010.163 IEEE Computer Society fulltext |
| spellingShingle | cost of spam web spam Ridzuan, Farida Potdar, Vidyasagar Talevski, Alex Smyth, William Key Parameters in Identifying Cost of Spam 2.0 |
| title | Key Parameters in Identifying Cost of Spam 2.0 |
| title_full | Key Parameters in Identifying Cost of Spam 2.0 |
| title_fullStr | Key Parameters in Identifying Cost of Spam 2.0 |
| title_full_unstemmed | Key Parameters in Identifying Cost of Spam 2.0 |
| title_short | Key Parameters in Identifying Cost of Spam 2.0 |
| title_sort | key parameters in identifying cost of spam 2.0 |
| topic | cost of spam web spam |
| url | http://hdl.handle.net/20.500.11937/7546 |