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    • 3. 发明授权
    • Stochastic document clustering using rare features
    • 使用罕见特征的随机文档聚类
    • US09256669B2
    • 2016-02-09
    • US14081790
    • 2013-11-15
    • Securboration, Inc.
    • Joshua Powers
    • G06F17/30
    • G06F17/3071G06F17/30705G06F17/30713
    • Systems, methods, and apparatus for clustering resources using rare features are provided. For example, an environment includes an extraction module, an index module, and a cluster module. The extractions module identifies a set of resources and extracts a plurality of features from the resources. The plurality of features may be rare features. The index module identifies and generates a rare features index. The cluster module identifies at least two resources that share rare features, creates one or more clusters based on the identified at least two resources, and associates resources that share similar features with the one or more clusters. Resources that do not share similar features are not associated with the one or more clusters. Identifying at least two resources that share rare features is based at least upon a threshold.
    • 提供了使用稀有特性来集群资源的系统,方法和装置。 例如,环境包括提取模块,索引模块和集群模块。 提取模块识别一组资源并从资源中提取多个特征。 多个特征可能是罕见的特征。 索引模块识别并生成罕见的特征索引。 集群模块识别共享稀有特征的至少两个资源,基于所识别的至少两个资源创建一个或多个集群,并将与一个或多个集群共享相似特征的资源关联起来。 不共享类似功能的资源不与一个或多个群集相关联。 至少识别至少两个共享罕见功能的资源至少基于阈值。
    • 9. 发明申请
    • CYBER-SEMANTIC ACCOUNT MANAGEMENT SYSTEM
    • 西班牙帐号管理系统
    • US20140143873A1
    • 2014-05-22
    • US14085493
    • 2013-11-20
    • Securboration, Inc.
    • Anthony StirtzingerKeith ShapiroBrian WarhoverBruce McQueary
    • H04L29/06
    • H04L63/1441H04L63/1408H04W12/12
    • Systems, methods, and apparatus for identifying anomalous behavior are provided. For example, a method may include receiving raw data, generating a behavior profile for the entity based on the raw data, receiving comparison data, determining whether the comparison data deviates from a pattern of behavior defined in the behavior profile, and identifying the comparison data as anomalous behavior when the comparison data deviates from the pattern of behavior. In one embodiment, the raw data includes recorded activity for the entity. In one embodiment, the behavior profile defines a pattern of behavior for the entity. In one embodiment, a countermeasure is performed upon identifying anomalous behavior. The countermeasure may include at least one of revoking the entity's credentials, denying the entity access to a resource, shutting down access to a port, and denying access to the entity. The method may further include providing a report of the anomalous behavior.
    • 提供了用于识别异常行为的系统,方法和装置。 例如,方法可以包括接收原始数据,基于原始数据生成实体的行为简档,接收比较数据,确定比较数据是否偏离行为简档中定义的行为模式,以及识别比较数据 作为比较数据偏离行为模式的异常行为。 在一个实施例中,原始数据包括实体的记录活动。 在一个实施例中,行为简档定义了实体的行为模式。 在一个实施例中,在识别异常行为时执行对策。 对策可以包括撤销实体的凭证,拒绝实体对资源的访问,关闭对端口的访问以及拒绝对该实体的访问中的至少一个。 该方法还可以包括提供异常行为的报告。