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    • 1. 发明授权
    • Searching for information utilizing a probabilistic detector
    • 使用概率检测器搜索信息
    • US07730058B2
    • 2010-06-01
    • US11243924
    • 2005-10-05
    • Gaurav SareenMark Steven ManasseMartin AbadiMichael A. Isard
    • Gaurav SareenMark Steven ManasseMartin AbadiMichael A. Isard
    • G06F7/00G06F17/30
    • G06F17/30687
    • A probabilistic detector is utilized to query a database. Utilization of a probabilistic detector provides assurance with 100 per cent probability that a search expression in the query is not in the database index. The probabilistic detector is implemented in the form of a Bloom filter. The probabilistic detector is created by hashing expressions in the database index and mapping the resulting hash values into the probabilistic detector. Upon receiving a query, expressions of the query are hashed. The probabilistic detector is queried using these hash values. If the results of querying the probabilistic detector indicate that searched for information may be in the database, the database is not queried. If the results of querying the probabilistic detector indicate that the information may be in the database, the database is queried for the information using the original query. This technique is advantageous in mitigating detrimental effects of denial of service attacks.
    • 利用概率检测器查询数据库。 概率检测器的利用率提供了100%的可能性,即查询中的搜索表达式不在数据库索引中。 概率检测器以Bloom滤波器的形式实现。 概率检测器是通过在数据库索引中散列表达式并将生成的散列值映射到概率检测器中创建的。 在接收到查询后,查询的表达式将被哈希。 使用这些散列值查询概率检测器。 如果查询概率检测器的结果表明搜索到的信息可能在数据库中,则不会查询数据库。 如果查询概率检测器的结果表明信息可能在数据库中,则使用原始查询查询数据库中的信息。 这种技术有利于减轻拒绝服务攻击的有害影响。
    • 2. 发明授权
    • Memory bound functions for spam deterrence and the like
    • 用于垃圾邮件威慑的内存绑定功能等
    • US07149801B2
    • 2006-12-12
    • US10290879
    • 2002-11-08
    • Michael BurrowsMartin AbadiMark Steven ManasseEdward P. WobberDaniel Ron Simon
    • Michael BurrowsMartin AbadiMark Steven ManasseEdward P. WobberDaniel Ron Simon
    • G06F15/173H04K1/00
    • H04L63/126H04L51/12
    • A resource may be abused if its users incur little or no cost. For example, e-mail abuse is rampant because sending an e-mail has negligible cost for the sender. Such abuse may be discouraged by introducing an artificial cost in the form of a moderately expensive computation. Thus, the sender of an e-mail might be required to pay by computing for a few seconds before the e-mail is accepted. Unfortunately, because of sharp disparities across computer systems, this approach may be ineffective against malicious users with high-end systems, prohibitively slow for legitimate users with low-end systems, or both. Starting from this observation, we identify moderately hard, memory bound functions that most recent computer systems will evaluate at about the same speed, and we explain how to use them for protecting against abuses.
    • 如果用户投入很少或没有成本,资源可能会被滥用。 例如,电子邮件滥用是猖獗的,因为发送电子邮件对发件人的成本可以忽略不计。 通过以中等昂贵的计算的形式引入人造成本,可能不鼓励这种滥用。 因此,电子邮件的发件人可能需要在电子邮件被接受之前几秒计算才能付款。 不幸的是,由于计算机系统之间的差异很大,对于具有高端系统的恶意用户来说,这种方法可能无效,对于具有低端系统的合法用户或者两者都是非常缓慢的。 从这个观察开始,我们确定了最近的计算机系统以相同的速度评估的适度硬的记忆绑定功能,我们解释如何使用它们来防止滥用。