Toward spam 2.0: an evaluation of web 2.0 anti-spam methods

Hayati, Pedram; Potdar, Vidyasagar

doi:10.1109/INDIN.2009.5195918

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Access Status

Open access

Authors

Hayati, Pedram

Potdar, Vidyasagar

Date

2009

Type

Conference Paper

Metadata

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Citation

Hayati, 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

Source Title

Proceedings of the 7th IEEE international conference on industrial informatics (INDIN 2009)

Source Conference

7th IEEE International Conference on Industrial Informatics (INDIN 2009)

DOI

10.1109/INDIN.2009.5195918

ISBN

9781424437597

Faculty

Curtin Business School

The Digital Ecosystems and Business Intelligence Institute (DEBII)

School

Digital Ecosystems and Business Intelligence Institute (DEBII)

Remarks

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.

URI

http://hdl.handle.net/20.500.11937/3305

Collection

Curtin Research Publications

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.