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dc.contributor.authorRidzuan, Farida
dc.contributor.authorPotdar, Vidyasagar
dc.contributor.authorTalevski, Alex
dc.contributor.editorDavid Taniar
dc.contributor.editorOsvaldo Gervasi
dc.contributor.editorBeniamino Murgante
dc.contributor.editorEric Pardede
dc.contributor.editorBernady O Apduhan
dc.date.accessioned2017-01-30T15:10:59Z
dc.date.available2017-01-30T15:10:59Z
dc.date.created2011-02-15T00:34:42Z
dc.date.issued2010
dc.identifier.citationRidzuan, Farida and Potdar, Vidyasagar and Talevski, Alex. 2010. Factors Involved in Estimating Cost of Email Spam. Lecture Notes in Computer Science. 6017. pp. 383-399.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/43938
dc.identifier.doi10.1007/978-3-642-12165-4_31
dc.description.abstract

This paper analyses existing research work to identify all possible factors involved in estimating cost of spam. Main motivation of this paper is to provide unbiased spam costs estimation. For that, we first study the email spam lifecycle and identify all possible stakeholders. We then categorise cost and study the impact on each stakeholder. This initial study will form the backbone of the real time spam cost calculating engine that we are developing for Australia.

dc.publisherSpringer
dc.subjectemail spam
dc.subjectspam cost
dc.subjectspam lifecycle
dc.titleFactors Involved in Estimating Cost of Email Spam
dc.typeBook Chapter
dcterms.source.startPage383
dcterms.source.endPage399
dcterms.source.titleLecture notes in computer science, volume 6017: computational science and its applications - ICCSA 2010
dcterms.source.isbn9783642121647
dcterms.source.placeHeidelberg
dcterms.source.chapter46
curtin.note

The original publication is available at : http://www.springerlink.com

curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access


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