Title :
CAFE - collaborative agents for filtering e-mails
Author :
Lazzari, Lorenzo ; Mari, Marco ; Poggi, Agostino
Author_Institution :
Dipt. di Ingegneria dell´´Informazione, Univ. degli Studi di Parma, Italy
Abstract :
CAFE (collaborative agents for filtering e-mails) is a multiagent 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 e-mail using essentially three kinds of approach: a first approach based on the usage of a hash function, a static approach using DNSBL (DNS-based black lists) databases and a dynamic approach based on a Bayesian algorithm.
Keywords :
Bayes methods; electronic mail; information filtering; multi-agent systems; Bayesian algorithm; DNS-based black lists database; collaborative agents; collaborative spam filtering; e-mail client; e-mail filtering; e-mail server; hash function; multiagent system; Business; Collaboration; Databases; Electronic mail; Filtering; Filters; Internet; Multiagent systems; Postal services; Unsolicited electronic mail;
Conference_Titel :
Enabling Technologies: Infrastructure for Collaborative Enterprise, 2005. 14th IEEE International Workshops on
Print_ISBN :
0-7695-2362-5
DOI :
10.1109/WETICE.2005.23