Publication:
Decision Model Analysis for Spam

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URI: https://hdl.handle.net/10016/13203
ISSN: 1311-1493
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Orfila, Carbo, Ribagorda - 2004 - Decision Model Analysis for Spam - Information & Security An international journal.pdf (211.74 KB)
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2004-11
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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.
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Spam Detection, Decision Analysis, False Negatives, False Positives, Network Security, Blacklists
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Information & Security, An international journal, 15(2), 151-161
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DI - COSEC - Artículos de Revistas