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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/13203

Google™ Scholar. Others By: Orfila, Agustín - Carbó, Javier - Ribagorda, Arturo
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Orfila, Carbo, Ribagorda - 2004 - Decision Model Analysis for Spam - Information & Security An international journal.pdf211,74 kBAdobe PDFformato pdf
Title: Decision Model Analysis for Spam
Author(s): Orfila, Agustín
Carbó, Javier
Ribagorda, Arturo
Publisher: ProCon
Issued date: Nov-2004
Citation: Information & Security, An international journal, 15(2), 151-161
URI: http://hdl.handle.net/10016/13203
ISSN: 1311-1493
Abstract: One 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.
Review: PeerReviewed
Publisher version: http://www.isn.ethz.ch/isn/Digital-Library/Publications/Detail/?ots591=0C54E3B3-1E9C-BE1E-2C24-A6A8C7060233&lng=en&id=10520
Keywords: Spam Detection
Decision Analysis
False Negatives
False Positives
Network Security
Blacklists
Appears in Collections:DI - SETI - Artículos de Revistas

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