专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08789171B2 Mining user behavior data for IP address space intelligence 有权
标题翻译：挖掘IP地址空间智能的用户行为数据
公开(公告)号：US08789171B2
公开(公告)日：2014-07-22
申请号：US12055321
申请日：2008-03-26
申请人： Ivan Osipkov , Geoffrey Hulten , John Mehr , Yinglian Xie , Fang Yu
发明人： Ivan Osipkov , Geoffrey Hulten , John Mehr , Yinglian Xie , Fang Yu
IPC分类号： H04L29/06
CPC分类号： H04L67/22 , H04L61/2061 , H04L63/1408 , H04L2463/144
摘要： The claimed subject matter is directed to mining user behavior data for increasing Internet Protocol (“IP”) space intelligence. Specifically, the claimed subject matter provides a method and system of mining user behavior within an IP address space and the application of the IP address space intelligence derived from the mined user behavior.In one embodiment, the IP address space intelligence is formed and/or increased with information obtained from the mined user behavior data. A system of uniquely-identified users is monitored and their behavior within the IP address space is recorded. Further data is mined from estimated characteristics about the user, including the nature of the IP address the user uses to log into the service, and characterizing the IP address according to a network type.
摘要翻译：所要求保护的主题涉及用于增加因特网协议（“IP”）空间智能的采矿用户行为数据。具体地，所要求保护的主题提供了在IP地址空间内挖掘用户行为的方法和系统，以及从开采的用户行为导出的IP地址空间智能的应用。在一个实施例中，使用从开采的用户行为数据获得的信息来形成和/或增加IP地址空间智能。监视唯一标识的用户的系统，并记录其在IP地址空间内的行为。进一步的数据从关于用户的估计特征开始，包括用户用于登录服务的IP地址的性质，以及根据网络类型表征IP地址。

2. 发明申请

US20070100949A1 Proofs to filter spam 有权
标题翻译：过滤垃圾邮件的证明
公开(公告)号：US20070100949A1
公开(公告)日：2007-05-03
申请号：US11265842
申请日：2005-11-03
申请人： Geoffrey Hulten , Gopalakrishnan Seshadrinathan , Joshua Goodman , Manav Mishra , Robert Pengelly , Robert Rounthwaite , Ryan Colvin
发明人： Geoffrey Hulten , Gopalakrishnan Seshadrinathan , Joshua Goodman , Manav Mishra , Robert Pengelly , Robert Rounthwaite , Ryan Colvin
IPC分类号： G06F15/16
CPC分类号： H04L51/12 , G06Q10/00
摘要： Embodiment of proofs to filter spam are presented herein.
摘要翻译：这里介绍过滤垃圾邮件的证明的实施例。

3. 发明申请

US20070039038A1 Phishing Detection, Prevention, and Notification 有权
标题翻译：网络钓鱼检测，预防和通知
公开(公告)号：US20070039038A1
公开(公告)日：2007-02-15
申请号：US11537641
申请日：2006-09-30
申请人： Joshua Goodman , Paul Rehfuss , Robert Rounthwaite , Manav Mishra , Geoffrey Hulten , Kenneth Richards , Aaron Averbuch , Anthony Penta , Roderic Deyo
发明人： Joshua Goodman , Paul Rehfuss , Robert Rounthwaite , Manav Mishra , Geoffrey Hulten , Kenneth Richards , Aaron Averbuch , Anthony Penta , Roderic Deyo
IPC分类号： H04L9/32 , G06K9/00
CPC分类号： H04L63/1408 , H04L63/1441 , H04L63/1483
摘要： Phishing detection, prevention, and notification is described. In an embodiment, a messaging application facilitates communication via a messaging user interface, and receives a communication, such as an email message, from a domain. A phishing detection module detects a phishing attack in the communication by determining that the domain is similar to a known phishing domain, or by detecting suspicious network properties of the domain. In another embodiment, a Web browsing application receives content, such as data for a Web page, from a network-based resource, such as a Web site or domain. The Web browsing application initiates a display of the content, and a phishing detection module detects a phishing attack in the content by determining that a domain of the network-based resource is similar to a known phishing domain, or that an address of the network-based resource from which the content is received has suspicious network properties.
摘要翻译：描述网络钓鱼检测，预防和通知。在一个实施例中，消息收发应用促进通过消息收发用户界面的通信，并从域接收诸如电子邮件消息之类的通信。钓鱼检测模块通过确定域与已知的网络钓鱼域相似，或通过检测域的可疑网络属性来检测通信中的网络钓鱼攻击。在另一个实施例中，Web浏览应用程序从基于网络的资源（诸如网站或域）接收诸如网页的数据的内容。 Web浏览应用程序启动内容的显示，并且网络钓鱼检测模块通过确定基于网络的资源的域类似于已知的网络钓鱼域来检测内容中的网络钓鱼攻击，或者网络 - 收到内容的基于资源的资源具有可疑的网络属性。

4. 发明申请

US20070038705A1 Trees of classifiers for detecting email spam 有权
标题翻译：用于检测电子邮件垃圾邮件的分类树
公开(公告)号：US20070038705A1
公开(公告)日：2007-02-15
申请号：US11193691
申请日：2005-07-29
申请人： David Chickering , Geoffrey Hulten , Robert Rounthwaite , Christopher Meek , David Heckerman , Joshua Goodman
发明人： David Chickering , Geoffrey Hulten , Robert Rounthwaite , Christopher Meek , David Heckerman , Joshua Goodman
IPC分类号： G06F15/16
CPC分类号： H04L51/12
摘要： Decision trees populated with classifier models are leveraged to provide enhanced spam detection utilizing separate email classifiers for each feature of an email. This provides a higher probability of spam detection through tailoring of each classifier model to facilitate in more accurately determining spam on a feature-by-feature basis. Classifiers can be constructed based on linear models such as, for example, logistic-regression models and/or support vector machines (SVM) and the like. The classifiers can also be constructed based on decision trees. “Compound features” based on internal and/or external nodes of a decision tree can be utilized to provide linear classifier models as well. Smoothing of the spam detection results can be achieved by utilizing classifier models from other nodes within the decision tree if training data is sparse. This forms a base model for branches of a decision tree that may not have received substantial training data.
摘要翻译：利用分类器模型填充的决策树利用电子邮件的每个功能使用单独的电子邮件分类器来提供增强的垃圾邮件检测。这通过定制每个分类器模型提供了更高的垃圾邮件检测的概率，以便于在逐个特征的基础上更准确地确定垃圾邮件。分类器可以基于诸如逻辑回归模型和/或支持向量机（SVM）等线性模型来构建。分类器也可以基于决策树构建。基于决策树的内部和/或外部节点的“复合特征”也可以用于提供线性分类器模型。垃圾邮件检测结果的平滑可以通过使用来自决策树内的其他节点的分类器模型来实现，如果训练数据是稀疏的。这形成了可能没有接收到大量训练数据的决策树的分支的基本模型。

5. 发明申请

US20060015561A1 Incremental anti-spam lookup and update service 有权
标题翻译：增量的反垃圾邮件查询和更新服务
公开(公告)号：US20060015561A1
公开(公告)日：2006-01-19
申请号：US10879626
申请日：2004-06-29
申请人： Elissa Murphy , Joshua Goodman , Derek Hazeur , Robert Rounthwaite , Geoffrey Hulten
发明人： Elissa Murphy , Joshua Goodman , Derek Hazeur , Robert Rounthwaite , Geoffrey Hulten
IPC分类号： G06F15/16
CPC分类号： G06Q10/107 , H04L51/12
摘要： The present invention provides a unique system and method that facilitates incrementally updating spam filters in near real time or real time. Incremental updates can be generated in part by difference learning. Difference learning involves training a new spam filter based on new data and then looking for the differences between the new spam filter and the existing spam filter. Differences can be determined at least in part by comparing the absolute values of parameter changes (weight changes of a feature between the two filters). Other factors such as frequency of parameters can be employed as well. In addition, available updates with respect to particular features or messages can be looked up using one or more lookup tables or databases. When incremental and/or feature-specific updates are available, they can be downloaded such as by a client for example. Incremental updates can be automatically provided or can be provided by request according to client or server preferences.
摘要翻译：本发明提供了一种独特的系统和方法，其便于实时或实时地逐渐更新垃圾邮件过滤器。增量更新可以通过差异学习部分产生。差异学习涉及到根据新数据来培训新的垃圾邮件过滤器，然后寻找新的垃圾邮件过滤器和现有的垃圾邮件过滤器之间的差异。差异可以至少部分地通过比较参数变化的绝对值（两个滤波器之间的特征的权重变化）来确定。也可以使用诸如参数频率的其他因素。此外，可以使用一个或多个查找表或数据库查找关于特定特征或消息的可用更新。当增量和/或功能特定的更新可用时，可以例如通过客户端下载它们。增量更新可以自动提供，也可以根据客户端或服务器的偏好请求提供。

6. 发明申请

US20090249480A1 MINING USER BEHAVIOR DATA FOR IP ADDRESS SPACE INTELLIGENCE 有权
标题翻译：挖掘用户行为数据进行IP地址空间智能
公开(公告)号：US20090249480A1
公开(公告)日：2009-10-01
申请号：US12055321
申请日：2008-03-26
申请人： Ivan Osipkov , Geoffrey Hulten , John Mehr , Yinglian Xie , Fang Yu
发明人： Ivan Osipkov , Geoffrey Hulten , John Mehr , Yinglian Xie , Fang Yu
IPC分类号： G06F11/00
CPC分类号： H04L67/22 , H04L61/2061 , H04L63/1408 , H04L2463/144
摘要： The claimed subject matter is directed to mining user behavior data for increasing Internet Protocol (“IP”) space intelligence. Specifically, the claimed subject matter provides a method and system of mining user behavior within an IP address space and the application of the IP address space intelligence derived from the mined user behavior.In one embodiment, the IP address space intelligence is formed and/or increased with information obtained from the mined user behavior data. A system of uniquely-identified users is monitored and their behavior within the IP address space is recorded. Further data is mined from estimated characteristics about the user, including the nature of the IP address the user uses to log into the service, and characterizing the IP address according to a network type.
摘要翻译：所要求保护的主题涉及用于增加因特网协议（“IP”）空间智能的采矿用户行为数据。具体地，所要求保护的主题提供了在IP地址空间内挖掘用户行为的方法和系统，以及从开采的用户行为导出的IP地址空间智能的应用。在一个实施例中，使用从开采的用户行为数据获得的信息来形成和/或增加IP地址空间智能。监视唯一标识的用户的系统，并记录其在IP地址空间内的行为。进一步的数据从关于用户的估计特征开始，包括用户用于登录服务的IP地址的性质，以及根据网络类型表征IP地址。

7. 发明申请

US20060123478A1 Phishing detection, prevention, and notification 审中-公开
公开(公告)号：US20060123478A1
公开(公告)日：2006-06-08
申请号：US11129665
申请日：2005-05-13
申请人： Paul Rehfuss , Joshua Goodman , Robert Rounthwaite , Manav Mishra , Geoffrey Hulten , Kenneth Richards , Aaron Averbuch , Anthony Penta , Roderic Deyo
发明人： Paul Rehfuss , Joshua Goodman , Robert Rounthwaite , Manav Mishra , Geoffrey Hulten , Kenneth Richards , Aaron Averbuch , Anthony Penta , Roderic Deyo
IPC分类号： G06F12/14
CPC分类号： H04L63/1408 , H04L67/02
摘要： Phishing detection, prevention, and notification is described. In an embodiment, a messaging application facilitates communication via a messaging user interface, and receives a communication, such as an email message, from a domain. A phishing detection module detects a phishing attack in the communication by determining that the domain is similar to a known phishing domain, or by detecting suspicious network properties of the domain. In another embodiment, a Web browsing application receives content, such as data for a Web page, from a network-based resource, such as a Web site or domain. The Web browsing application initiates a display of the content, and a phishing detection module detects a phishing attack in the content by determining that a domain of the network-based resource is similar to a known phishing domain, or that an address of the network-based resource from which the content is received has suspicious network properties.

8. 发明申请

US20060123464A1 Phishing detection, prevention, and notification 有权
公开(公告)号：US20060123464A1
公开(公告)日：2006-06-08
申请号：US11129222
申请日：2005-05-13
申请人： Joshua Goodman , Paul Rehfuss , Robert Rounthwaite , Manav Mishra , Geoffrey Hulten , Kenneth Richards , Aaron Averbuch , Anthony Penta , Roderic Deyo
发明人： Joshua Goodman , Paul Rehfuss , Robert Rounthwaite , Manav Mishra , Geoffrey Hulten , Kenneth Richards , Aaron Averbuch , Anthony Penta , Roderic Deyo
IPC分类号： H04L9/32
CPC分类号： H04L63/1416 , H04L51/12 , H04L63/1466 , H04L63/1483
摘要： Phishing detection, prevention, and notification is described. In an embodiment, a messaging application facilitates communication via a messaging user interface, and receives a communication, such as an email message, from a domain. A phishing detection module detects a phishing attack in the communication by determining that the domain is similar to a known phishing domain, or by detecting suspicious network properties of the domain. In another embodiment, a Web browsing application receives content, such as data for a Web page, from a network-based resource, such as a Web site or domain. The Web browsing application initiates a display of the content, and a phishing detection module detects a phishing attack in the content by determining that a domain of the network-based resource is similar to a known phishing domain, or that an address of the network-based resource from which the content is received has suspicious network properties.

9. 发明申请

US20060112190A1 Dependency network based model (or pattern) 有权
标题翻译：基于依赖网络的模型（或模式）
公开(公告)号：US20060112190A1
公开(公告)日：2006-05-25
申请号：US11324960
申请日：2006-01-03
申请人： Geoffrey Hulten , David Chickering , David Heckerman
发明人： Geoffrey Hulten , David Chickering , David Heckerman
IPC分类号： G06F15/173
CPC分类号： G06F17/30687 , G06F17/30536 , G06N7/005 , G06Q30/00
摘要： A dependency network is created from a training data set utilizing a scalable method. A statistical model (or pattern), such as for example a Bayesian network, is then constructed to allow more convenient inferencing. The model (or pattern) is employed in lieu of the training data set for data access. The computational complexity of the method that produces the model (or pattern) is independent of the size of the original data set. The dependency network directly returns explicitly encoded data in the conditional probability distributions of the dependency network. Non-explicitly encoded data is generated via Gibbs sampling, approximated, or ignored.
摘要翻译：从使用可伸缩方法的训练数据集创建依赖网络。然后构建统计模型（或模式），例如贝叶斯网络，以允许更方便的推论。采用模型（或模式）代替用于数据访问的训练数据集。产生模型（或模式）的方法的计算复杂度与原始数据集的大小无关。依赖网络直接在依赖网络的条件概率分布中返回显式编码的数据。通过Gibbs采样，近似或忽略来生成非显式编码数据。

10. 发明申请

US20070033639A1 Phishing Detection, Prevention, and Notification 审中-公开
公开(公告)号：US20070033639A1
公开(公告)日：2007-02-08
申请号：US11537640
申请日：2006-09-30
申请人： Joshua Goodman , Paul Rehfuss , Robert Rounthwaite , Manav Mishra , Geoffrey Hulten , Kenneth Richards , Aaron Averbuch , Anthony Penta , Roderict Deyo
发明人： Joshua Goodman , Paul Rehfuss , Robert Rounthwaite , Manav Mishra , Geoffrey Hulten , Kenneth Richards , Aaron Averbuch , Anthony Penta , Roderict Deyo
IPC分类号： H04L9/32 , G06K9/00
CPC分类号： H04L63/1416 , H04L51/12 , H04L63/1466 , H04L63/1483
摘要： Phishing detection, prevention, and notification is described. In an embodiment, a messaging application facilitates communication via a messaging user interface, and receives a communication, such as an email message, from a domain. A phishing detection module detects a phishing attack in the communication by determining that the domain is similar to a known phishing domain, or by detecting suspicious network properties of the domain. In another embodiment, a Web browsing application receives content, such as data for a Web page, from a network-based resource, such as a Web site or domain. The Web browsing application initiates a display of the content, and a phishing detection module detects a phishing attack in the content by determining that a domain of the network-based resource is similar to a known phishing domain, or that an address of the network-based resource from which the content is received has suspicious network properties.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式