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    • 44. 发明申请
    • Statistical, Signature-Based Approach to IP Traffic Classification
    • 统计,基于签名的IP流量分类方法
    • US20100085889A1
    • 2010-04-08
    • US12635127
    • 2009-12-10
    • Nicholas G. DuffieldMatthew RoughanSubhabrata SenOliver Spatscheck
    • Nicholas G. DuffieldMatthew RoughanSubhabrata SenOliver Spatscheck
    • H04L12/26H04L12/56
    • H04L41/5022H04L41/142
    • A signature-based traffic classification method maps traffic into preselected classes of service (CoS). By analyzing a known corpus of data that clearly belongs to identified ones of the preselected classes of service, in a training session the method develops statistics about a chosen set of traffic features. In an analysis session, relative to traffic of the network where QoS treatments are desired (target network), the method obtains statistical information relative to the same chosen set of features for values of one or more predetermined traffic attributes that are associated with connections that are analyzed in the analysis session, yielding a statistical features signature of each of the values of the one ore more attributes. A classification process then establishes a mapping between values of the one or more predetermined traffic attributes and the preselected classes of service, leading to the establishment of QoS treatment rules.
    • 基于签名的流量分类方法将流量映射到预选的服务等级(CoS)。 通过分析明确属于所选择的服务类别的已知数据库,在训练课程中,该方法开发关于所选择的一组交通特征的统计。 在分析会话中,相对于期望QoS处理的网络的业务量(目标网络),该方法获得相对于与所连接的连接相关联的一个或多个预定业务属性的值的相同所选择的特征集的统计信息 在分析会话中进行分析,产生一个或多个属性的每个值的统计特征签名。 然后,分类过程建立一个或多个预定业务属性的值与预选的业务类别之间的映射,导致建立QoS处理规则。