Publication:
Decision Model Analysis for Spam

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: COSEC (Computer SECurity Lab)es
dc.contributor.authorOrfila, Agustín
dc.contributor.authorCarbó Rubiera, Javier Ignacio
dc.contributor.authorRibagorda Garnacho, Arturo
dc.date.accessioned2012-02-03T14:08:34Z
dc.date.available2012-02-03T14:08:34Z
dc.date.issued2004-11
dc.description.abstractOne of the security challenges of e-Government is to offer a fluid dialogue to citizens that guarantees the availability, confidentiality and integrity of the information interchanged. Spam jeopardizes the sur- vival of electronic mail as a communication mean. Many approaches to solve the spam problem has been proposed. This paper shows the ne- cessity of studying the real value of spam filters. Contrary to common belief, false positive rate and false negative rate do not completely reveal to what extent a junk filter is worth using. Very important parameters like the hostility of the environment (summarized by the probability of receiving spam) or the error costs associated with the filter play a decisive role.
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationInformation & Security, An international journal, 15(2), 151-161
dc.identifier.issn1311-1493
dc.identifier.publicationfirstpage151
dc.identifier.publicationissue2
dc.identifier.publicationtitleaInformation & Security, An international journal
dc.identifier.publicationvolume15
dc.identifier.urihttps://hdl.handle.net/10016/13203
dc.language.isoeng
dc.publisherProCon
dc.relation.publisherversionhttp://www.isn.ethz.ch/isn/Digital-Library/Publications/Detail/?ots591=0C54E3B3-1E9C-BE1E-2C24-A6A8C7060233&lng=en&id=10520
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaInformática
dc.subject.otherSpam Detection
dc.subject.otherDecision Analysis
dc.subject.otherFalse Negatives
dc.subject.otherFalse Positives
dc.subject.otherNetwork Security
dc.subject.otherBlacklists
dc.titleDecision Model Analysis for Spam
dc.typeresearch article*
dc.type.hasVersionVoR*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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