会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 4. 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。