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    Key Parameters in Identifying Cost of Spam 2.0

    153322_153322.pdf (300.6Kb)
    Access Status
    Open access
    Authors
    Ridzuan, Farida
    Potdar, Vidyasagar
    Talevski, Alex
    Smyth, William
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Ridzuan, F. and Potdar, V. and Talevski, A. and Smyth, W.F. 2010. Key Parameters in Identifying Cost of Spam 2.0, in Rahayu, W. and Xhafa, F. and Denko, M. (ed), IEEE 24th International Conference on Advanced Information Networking and Applications (AINA 2010), Apr 20 2010, pp. 789-796. Perth, WA: IEEE.
    Source Title
    Proceedings of the IEEE 24th international conference on advanced information networking and applications (AINA 2010)
    Source Conference
    IEEE 24th International Conference on Advanced Information Networking and Applications (AINA 2010)
    DOI
    10.1109/AINA.2010.163
    ISBN
    9781424466955
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    Remarks

    Copyright © 2010 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/20.500.11937/7546
    Collection
    • Curtin Research Publications
    Abstract

    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.

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