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Detecting unwanted electronic mail messages based on probabilistic analysis of referenced resources

机译:基于参考资源的概率分析检测不需要的电子邮件

摘要

In one embodiment, detecting unwanted electronic mail messages based on probabilistic analysis of referenced resources comprises receiving a whitelist and a blocklist each having a plurality of network resource identifiers that have appeared in prior messages; retrieving a particular network resource identifier; generating a list of properties for the particular network resource identifier; training a probabilistic filter using the properties; and repeating the retrieving, generating and training for all the network resource identifiers in the whitelist and blocklist. Thereafter, when an electronic mail message is received and contains a URL or other network resource identifier, a spam score or threat score can be generated for the message by testing properties of the network resource identifier using the trained probabilistic filter.
机译:在一个实施例中,基于对参考资源的概率分析来检测不需要的电子邮件消息包括:接收白名单和黑名单,每个白名单和黑名单具有在先前消息中已经出现的多个网络资源标识符;检索特定的网络资源标识符;生成特定网络资源标识符的属性列表;使用这些属性训练概率过滤器;对白名单和黑名单中的所有网络资源标识符重复检索,生成和训练。此后,当接收到电子邮件消息并包含URL或其他网络资源标识符时,可以通过使用经过训练的概率过滤器测试网络资源标识符的属性来为该邮件生成垃圾邮件分数或威胁分数。

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