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Evaluation of Anti-spam Method Combining Bayesian Filtering and Strong Challenge and Response

机译:贝叶斯滤波结合抗垃圾邮件方法的评价与强烈的挑战与反应

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摘要

Recently, various schemes against spam are proposed because of rapid increasing of spam. Some schemes are based on sender whitelisting with auto registration, a principle that a recipient reads only messages from senders who are registered by the recipient, and a sender have to perform some procedure to be registered (challenge-response.) In these schemes, some exceptions are required to show error mail to a sender of an original message. However, spammers can abuse this exception to send spam to users. We have proposed improved scheme in, combining challenge-response and Bayesian filtering. In this paper, we make tests on our scheme and a scheme using only Bayesian filtering to show efficiency of our scheme.
机译:最近,由于垃圾邮件的快速增加,提出了针对垃圾邮件的各种方案。某些方案基于发送器白名单与自动注册,收件人只读来自收件人注册的发件人的消息,并且发件人必须在这些方案中执行一些过程(质询 - 响应。)一些将错误邮件显示给原始邮件的发件人所需的例外。但是,垃圾邮件发送者可以滥用此异常以向用户发送垃圾邮件。我们提出了改进的计划,结合挑战 - 反应和贝叶斯过滤。在本文中,我们对我们的计划和仅使用贝叶斯过滤进行了测试,以显示我们计划的效率。

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