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基于陪审团机制的垃圾邮件过滤系统
引用本文:熊志勇,程从从,钟卫铭.基于陪审团机制的垃圾邮件过滤系统[J].科技广场,2007(7):102-104.
作者姓名:熊志勇  程从从  钟卫铭
作者单位:苏州市职业大学计算机工程系,江苏,苏州,215104
摘    要:目前对垃圾邮件的过滤主要有基于内容、基于IP地址和基于规则等方法,这些方法对垃圾邮件的过滤起到了一定作用。但单种邮件过滤技术只是针对邮件的某种属性进行过滤,因而造成邮件过滤判断的片面性。对此,设计了基于陪审团机制的邮件过滤系统。在这个系统中,各种现有的邮件过滤器对邮件的过滤结果,并非邮件过滤的最后结果,而是作为该系统的邮件过滤判断的一个输入值,最后根据系统所定的计算规则得出邮件的最终过滤结果。

关 键 词:反垃圾邮件  邮件过滤  陪审团机制  神经网络  网格
文章编号:1671-4792-(2007)7-0054-03

the Spam Filter System Based on Jury Mechanism
Xiong Zhiyong,Cheng Congcong,Zhong Weiming.the Spam Filter System Based on Jury Mechanism[J].Science Mosaic,2007(7):102-104.
Authors:Xiong Zhiyong  Cheng Congcong  Zhong Weiming
Institution:Department of Computer, Journal of Suzhou Vocational University, Jiangsu Suzhou 215104
Abstract:At present, the e-mail filter technologies have many ways, for example, content-based, IP-based and rule-based methods, etc. These technologies have more or less effects on filtering spam. But single spam technology only depends on certain attributes of email, resulting in a one-sided judgment spam. The paper designs a system which bases on the system of jury. In the system, the results which all of existing email filters filter an email are not the last filter results of email. These results are important values that the system needs. In the end, the system gets the last result of an email result according to the calculation rule that system sets.
Keywords:Anti-Spam  Email Filter  Jury Mechanism  Neural Networks  Grid
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