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dc.contributor.authorHayati, Pedram
dc.contributor.authorPotdar, Vidyasagar
dc.contributor.editorDuc-Truong Pham
dc.contributor.editorArmando Colombo
dc.date.accessioned2017-01-30T10:30:06Z
dc.date.available2017-01-30T10:30:06Z
dc.date.created2010-03-02T20:02:04Z
dc.date.issued2009
dc.identifier.citationHayati, Pedram and Potdar, Vidyasagar. 2009. Toward spam 2.0: an evaluation of web 2.0 anti-spam methods, in Duc-Truong Pham and Armando Colombo (ed), 7th IEEE International Conference on Industrial Informatics (INDIN 2009), Jun 23 2009, pp. 875-880.Cardiff, UK: IEEE
dc.identifier.urihttp://hdl.handle.net/20.500.11937/3305
dc.identifier.doi10.1109/INDIN.2009.5195918
dc.description.abstract

Spammers have proven very powerfully adaptable, if we thwart all current spam methods, they will find new loophole to use them. Blogs, comments, forums, opinions, online communities, wikis and tags are nowadays targets for their campaigns. This paper presents analysis of current anti-spam methods in Web 2.0 for spam detection and prevention against our proposed evaluation framework. The framework is a comprehensive framework to evaluate anti-spam methods from different perspectives. Our framework shows that the need for more robust methods which are prevention based, unsupervised and do not increase user and system interaction complexity is highly demanded.

dc.publisherIEEE
dc.subjectSecurity
dc.subjectAnti-spam
dc.subjectWeb spam
dc.subjectSpam
dc.titleToward spam 2.0: an evaluation of web 2.0 anti-spam methods
dc.typeConference Paper
dcterms.source.startPage875
dcterms.source.endPage880
dcterms.source.titleProceedings of the 7th IEEE international conference on industrial informatics (INDIN 2009)
dcterms.source.seriesProceedings of the 7th IEEE international conference on industrial informatics (INDIN 2009)
dcterms.source.isbn9781424437597
dcterms.source.conference7th IEEE International Conference on Industrial Informatics (INDIN 2009)
dcterms.source.conference-start-dateJun 23 2009
dcterms.source.conferencelocationCardiff, UK
dcterms.source.placeUK
curtin.note

Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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