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Published Articles >> Table of Contents >> Abstract

14th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprise (WETICE'05)   pp. 356-361
CAFE - Collaborative Agents for Filtering E-mails

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WETICE.2005.23
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Abstract
CAFE (Collaborative Agents for Filtering E-mails) is a multi-agent system to collaboratively filter spam from users’ mail stream. CAFE associates a proxy agent with each user, and this agent represents a sort of interface between the user’s e-mail client (i.e. Microsoft Outlook, Eudora, etc.) and the e-mail server. With the support of other types of agents, the proxy agent makes a classification of new messages into three categories: ham (good messages), spam and spam-presumed. The system analyzes every single email using essentially three kinds of approach: a first approach based on the usage of an hash function, a static approach using DNSBL (DNS-based Black Lists) databases and a dynamic approach based on a Bayesian algorithm.
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Citation:  Lorenzo Lazzari, Marco Mari, Agostino Poggi, "CAFE - Collaborative Agents for Filtering E-mails," wetice, pp. 356-361,  14th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprise (WETICE'05),  2005

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