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    • 7. 发明申请
    • DETECTING SPAM MESSAGES USING RAPID SENDER REPUTATION FEEDBACK ANALYSIS
    • 使用快速发送信号检测垃圾信息反馈分析
    • US20090013054A1
    • 2009-01-08
    • US11774460
    • 2007-07-06
    • Miles LibbeyF. Randall FarmerMohammad MohsenzadehChip MorningstarNeal Sample
    • Miles LibbeyF. Randall FarmerMohammad MohsenzadehChip MorningstarNeal Sample
    • G06F15/16
    • G06Q10/107
    • A network device and method are directed towards detecting and blocking spam within a message by rapidly performing a predication analysis based on early received sender reputation reports. Reputation reports may be received from a plurality of users receiving messages that they interpret as either spam or non-spam. A reputation report rate prediction table is employed to predict the total number of user reports that will occur. The total number of spam reports and not spam (ham) reports for may then be used with a sender categorization model to rapidly predict whether the sender is likely to be a spammer. If the sender is determined to be a spammer, various preventative actions may be taken, including, but not limited to blocking messages from the sender to users, alerting third party filter generators of the spammer, or the like.
    • 网络设备和方法旨在通过基于早期接收到的发送方信誉报告快速执行预测分析来检测和阻止消息内的垃圾邮件。 可以从多个用户接收到他们将其解释为垃圾邮件或非垃圾邮件的消息的信誉报告。 使用声誉报告率预测表来预测将发生的用户报告的总数。 垃圾邮件报告的总数,而不是垃圾邮件(ham)报告可以与发送者分类模型一起使用以快速预测发送者是否可能是垃圾邮件发送者。 如果发送者被确定为垃圾邮件发送者,则可以采取各种预防措施,包括但不限于阻止来自发送者到用户的消息,警告垃圾邮件发送者的第三方过滤器生成器等。
    • 8. 发明授权
    • Detecting spam messages using rapid sender reputation feedback analysis
    • 使用快速发信人信誉反馈分析来检测垃圾邮件
    • US07937468B2
    • 2011-05-03
    • US11774460
    • 2007-07-06
    • Miles LibbeyF. Randall FarmerMohammad MohsenzadehChip MorningstarNeal Sample
    • Miles LibbeyF. Randall FarmerMohammad MohsenzadehChip MorningstarNeal Sample
    • G06F15/173G06F11/00G06F15/16
    • G06Q10/107
    • A network device and method are directed towards detecting and blocking spam within a message by rapidly performing a predication analysis based on early received sender reputation reports. Reputation reports may be received from a plurality of users receiving messages that they interpret as either spam or non-spam. A reputation report rate prediction table is employed to predict the total number of user reports that will occur. The total number of spam reports and not spam (ham) reports for may then be used with a sender categorization model to rapidly predict whether the sender is likely to be a spammer. If the sender is determined to be a spammer, various preventative actions may be taken, including, but not limited to blocking messages from the sender to users, alerting third party filter generators of the spammer, or the like.
    • 网络设备和方法旨在通过基于早期接收到的发送方信誉报告快速执行预测分析来检测和阻止消息内的垃圾邮件。 可以从多个用户接收到他们将其解释为垃圾邮件或非垃圾邮件的消息的信誉报告。 使用声誉报告率预测表来预测将发生的用户报告的总数。 垃圾邮件报告的总数,而不是垃圾邮件(ham)报告可以与发送者分类模型一起使用以快速预测发送者是否可能是垃圾邮件发送者。 如果发送者被确定为垃圾邮件发送者,则可以采取各种预防措施,包括但不限于阻止来自发送者到用户的消息,警告垃圾邮件发送者的第三方过滤器生成器等。