A collaborative and multi-agent approach to e-mail filtering

机译：协作和多代理方法进行电子邮件过滤

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

CAFE (collaborative agents for filtering e-mails) is a multi-agent system to collaboratively filter spam from users' mail. CAFE associates each user with a proxy agent that acts as an interface between the user's e-mail client and the server. With the support of other agents, the proxy agent classifies messages into three categories: ham (good messages), spam and spam-presumed. The system analyzes each message using three approaches: the first is based on an hash function, the second (static) on DNSBL (DNS-based black lists) databases and the third (dynamic) on a Bayesian filter. We give a mathematical representation of the system, showing that if the users collaborate, the fault probability decreases in proportion to the number of active users.

机译：Cafe（用于过滤电子邮件的协作代理）是一个多功能系统，用于从用户邮件中协作垃圾邮件。 Cafe将每个用户与代理代理商关联，该代理可作为用户电子邮件客户端和服务器之间的接口。通过对其他代理的支持，代理代理将消息分为三类：HAM（好消息），垃圾邮件和垃圾邮件推定。系统使用三种方法分析每个消息：第一个基于哈希函数，DNSBL（基于DNS的黑色列表）数据库的第二（静态）和贝叶斯滤波器上的第三（动态）。我们给出了系统的数学表示，表明如果用户协作，则故障概率与活动用户数量成比例地减小。

著录项

来源
《Intelligent Agent Technology, IEEE/WIC/ACM International Conference on》|2005年|P.238-241|共4页
会议地点
作者
Lazzari L.; Mari M.; Poggi A.;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类工业技术;
关键词
belief networks; cryptography; groupware; multi-agent systems; unsolicited e-mail; user interfaces; Bayesian filter; DNS-based black lists databases; collaborative agents; e-mail filtering; fault probability; hash function; message classification; multiagent system; p;

机译：置信网络;密码学;组件;多代理系统;不请自来的电子邮件;用户界面;贝叶斯过滤器;基于DNS的黑名单数据库;协作代理;电子邮件过滤;故障概率;哈希函数;消息分类;多代理系统; p;

相似文献

外文文献
中文文献
专利

1. Collaborative Spam Filtering Using E-Mail Networks [J] . Kong J.S., Rezaei B.A., Sarshar N., Computer . 2006,第8期

机译：使用电子邮件网络的协同垃圾邮件过滤
2. An ensemble design approach based on bagging technique for filtering e-mail spam [J] . Sanjiban Roy Sekhar, Viswanatham Madhuviswanatham Madhu, Venkata Krishna P. International journal of autonomous and adaptive communications systems . 2017,第3期

机译：基于袋装技术的垃圾邮件过滤集成设计方法
3. A Content-Based Spam E-Mail Filtering Approach Using Multilayer Percepton Neural Networks [J] . A.Sesha Rao, P.S.Avadhani, Nandita Bhanja Chaudhuri International Journal of Engineering Trends and Technology . 2016,第1期

机译：基于内容的多层感知器神经网络的垃圾邮件过滤方法
4. A collaborative and multi-agent approach to e-mail filtering [C] . Lazzari L., Mari M., Poggi A. IEEE/WIC/ACM International Conference on Intelligent Agent Technology . 2005

机译：电子邮件过滤的协同和多代理方法
5. urCF: An approach to integrating user reviews into memory-based collaborative filtering [D] . Zhang, Zhenxue 2013

机译：urCF：一种将用户评论集成到基于内存的协作过滤中的方法
6. Predicting yield performance of parents in plant breeding: A neural collaborative filtering approach [O] . Saeed Khaki, Zahra Khalilzadeh, Lizhi Wang, 2020

机译：预测植物育种父母的产量表现：一种神经协作过滤方法
7. A machine learning approach to server-side anti-spam e-mail filtering [O] . Mashechkin I., Petrovskiy M., Rozinkin A., 2006

机译：服务器端反垃圾邮件过滤的机器学习方法
8. Approach for Autonomy: A Collaborative Communication Framework for Multi-Agent Systems [R] . Dufrene, W. R. 2005

机译：自治方法：多agent系统的协同通信框架

A collaborative and multi-agent approach to e-mail filtering

摘要

著录项

相似文献

相关主题

期刊订阅