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    • 12. 发明授权
    • Spam filtering with probabilistic secure hashes
    • 垃圾邮件过滤与概率安全散列
    • US07660865B2
    • 2010-02-09
    • US10917077
    • 2004-08-12
    • Geoffrey J. HultenJoshua T. GoodmanRobert L. RounthwaiteManav MishraElissa E. MurphyJohn D. Mehr
    • Geoffrey J. HultenJoshua T. GoodmanRobert L. RounthwaiteManav MishraElissa E. MurphyJohn D. Mehr
    • G06F15/16H04L29/06
    • H04L51/12H04L63/0227H04L63/123
    • Disclosed are signature-based systems and methods that facilitate spam detection and prevention at least in part by calculating hash values for an incoming message and then determining a probability that the hash values indicate spam. In particular, the signatures generated for each incoming message can be compared to a database of both spam and good signatures. A count of the number of matches can be divided by a denominator value. The denominator value can be an overall volume of messages sent to the system per signature for example. The denominator value can be discounted to account for different treatments and timing of incoming messages. Furthermore, secure hashes can be generated by combining portions of multiple hashing components. A secure hash can be made from a combination of multiple hashing components or multiple combinations thereof. The signature based system can also be integrated with machine learning systems to optimize spam prevention.
    • 公开了基于签名的系统和方法,其至少部分地通过计算输入消息的散列值,然后确定散列值指示垃圾邮件的概率来促进垃圾邮件检测和预防。 特别地,为每个传入消息生成的签名可以与垃圾邮件和良好签名的数据库进行比较。 匹配次数的计数可以除以分母值。 分母值可以是例如每个签名发送到系统的消息的总体积。 分母值可以折扣,以解决传入消息的不同处理和时间。 此外,可以通过组合多个散列分量的部分来生成安全散列。 可以从多个散列组件或其多个组合的组合形成安全散列。 基于签名的系统也可以与机器学习系统集成,以优化垃圾邮件防范。
    • 18. 发明授权
    • Storage abuse prevention
    • 存储滥用预防
    • US07848501B2
    • 2010-12-07
    • US11042245
    • 2005-01-25
    • Joshua T. GoodmanCarl M. KadieChristopher A. Meek
    • Joshua T. GoodmanCarl M. KadieChristopher A. Meek
    • H04M3/42G06F15/16
    • G06F21/606G06F21/316G06F21/552G06F2221/2135H04L51/00H04L63/1408
    • The subject invention provides a unique system and method that facilitates mitigation of storage abuse in connection with free storage provided by messaging service providers such as email, instant messaging, chat, blogging, and/or web hosting service providers. The system and method involve measuring the outbound volume of stored data. When the volume satisfies a threshold, a cost can be imposed on the account to mitigate the suspicious or abusive activity. Other factors can be considered as well that can modify the cost imposed on the cost such as by increasing the cost. Machine learning can be employed as well to predict a level or degree of suspicion. The various factors or the text of the messages can be used as input for the machine learning system.
    • 本发明提供了一种独特的系统和方法,其有助于缓解由诸如电子邮件,即时消息,聊天,博客和/或网络托管服务提供商之类的消息传递服务提供商提供的免费存储的存储滥用。 系统和方法涉及测量存储数据的出站量。 当卷满足阈值时,可以对该帐户施加成本以减轻可疑或滥用活动。 也可以考虑其他因素,从而可以通过增加成本来改变对成本的成本。 也可以使用机器学习来预测一定程度的怀疑。 消息的各种因素或文本可以用作机器学习系统的输入。