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    System and method for inferring traffic legitimacy through selective impairment
    22.
    发明授权
    System and method for inferring traffic legitimacy through selective impairment 失效
    通过选择性障碍推断交通合法性的系统和方法

    公开(公告)号：US07630949B1

    公开(公告)日：2009-12-08

    申请号：US11229156

    申请日：2005-09-16

    Applicant: Nicholas Duffield ,  Balachaner Krishnamurthy

    Inventor： Nicholas Duffield ,  Balachaner Krishnamurthy

    IPC: G06N5/02 ,  G06F17/00

    CPC classification number: H04L47/2475 ,  G06Q10/063 ,  H04L43/10 ,  H04L43/50 ,  H04L67/025

    Abstract: Described is a system and method for determining a classification of an application that includes initiating a stress test on the application, the stress test including a predetermined number of stress events, wherein the stress events are based on a network impairment. A response by the application to each stress event is identified and the application is classified as a function of the response into one of a first classification and a second classification, the first classification indicative of a normal application and the second classification indicative of an undesired application. If, the application is in the second classification, a network response procedure is executed.

    Abstract translation: 描述了一种用于确定应用程序分类的系统和方法，包括启动对应用程序的压力测试，压力测试包括预定数量的压力事件，其中应力事件基于网络损伤。 识别应用程序对每个压力事件的响应，将应用程序分类为响应于第一分类和第二分类之一的函数，第一分类指示正常应用，第二分类指示不期望的应用 。 如果应用程序处于第二分类中，则执行网络响应过程。

    APPARATUS FOR SIZE-DEPENDENT SAMPLING FOR MANAGING A DATA NETWORK
    25.
    发明申请
    APPARATUS FOR SIZE-DEPENDENT SAMPLING FOR MANAGING A DATA NETWORK 审中-公开
    用于管理数据网络的大小依赖性采样的设备

    公开(公告)号：US20080043636A1

    公开(公告)日：2008-02-21

    申请号：US11924329

    申请日：2007-10-25

    Applicant: Nicholas Duffield ,  Carsten Lund ,  Mikkel Thorup

    Inventor： Nicholas Duffield ,  Carsten Lund ,  Mikkel Thorup

    IPC: H04L12/24 ,  H04L9/00

    CPC classification number: H04L43/00 ,  H04L12/14 ,  H04L41/0896 ,  H04L41/5009 ,  H04L43/024 ,  H04L43/026 ,  H04L43/028 ,  H04L43/16

    Abstract: The present invention provides apparatus for sampling data flows in a data network in order to estimate a total data volume in the network. Sampling the data flows in the data network reduces the network resources that must be expended by the network to support the associated activity. The present invention enables the service provider of the data network to control sampled volumes in relation to the desired accuracy. The control can be either static or can be dynamic for cases in which the data volumes are changing as a function of time.

    Abstract translation: 本发明提供了用于对数据网络中的数据流进行采样以便估计网络中的总数据量的装置。 对数据网络中的数据流进行抽样可以减少网络必须花费的网络资源来支持相关的活动。 本发明使得数据网络的服务提供商能够相对于期望的精度来控制采样量。 控制可以是静态的，也可以是数据卷随着时间的变化而变化的情况。

    METHOD AND APPARATUS FOR CLASSIFYING APPLICATIONS USING THE COLLECTIVE PROPERTIES OF NETWORK TRAFFIC
    27.
    发明申请
    METHOD AND APPARATUS FOR CLASSIFYING APPLICATIONS USING THE COLLECTIVE PROPERTIES OF NETWORK TRAFFIC 有权
    使用网络交通的集合性质分类应用的方法和装置

    公开(公告)号：US20120047096A1

    公开(公告)日：2012-02-23

    申请号：US12858303

    申请日：2010-08-17

    Applicant: Nicholas Duffield ,  Patrick Haffner ,  Yu Jin ,  Subhabrata Sen ,  Zhi-Li Zhang

    Inventor： Nicholas Duffield ,  Patrick Haffner ,  Yu Jin ,  Subhabrata Sen ,  Zhi-Li Zhang

    IPC: G06F15/18 ,  G06N3/08

    CPC classification number: H04L43/045 ,  H04L43/026 ,  H04L67/22

    Abstract: In one embodiment, the present disclosure is a method and apparatus for classifying applications using the collective properties of network traffic. In one embodiment, a method for classifying traffic in a communication network includes receiving a traffic activity graph, the traffic activity graph comprising a plurality of nodes interconnected by a plurality of edges, where each of the nodes represents an endpoint associated with the communication network and each of the edges represents traffic between a corresponding pair of the nodes, generating an initial set of inferences as to an application class associated with each of the edges, based on at least one measured statistic related to at least one traffic flow in the communication network, and refining the initial set of inferences based on a spatial distribution of the traffic flows, to produce a final traffic activity graph.

    Abstract translation: 在一个实施例中，本公开是用于使用网络业务的集合属性对应用进行分类的方法和装置。 在一个实施例中，用于对通信网络中的业务进行分类的方法包括接收业务活动图，所述业务活动图包括由多个边缘互连的多个节点，其中每个节点表示与所述通信网络相关联的端点， 每个边缘表示对应的一对节点之间的流量，基于与通信网络中的至少一个业务流相关的至少一个测量的统计量，生成关于与每个边缘相关联的应用类别的初始推断集合 ，并且基于业务流的空间分布来优化初始推理集合，以产生最终业务活动图。

    SYSTEM AND METHOD FOR DATA INTENSIVE LOCAL INFERENCE
    28.
    发明申请
    SYSTEM AND METHOD FOR DATA INTENSIVE LOCAL INFERENCE 有权
    用于数据强度本地化的系统和方法

    公开(公告)号：US20110313767A1

    公开(公告)日：2011-12-22

    申请号：US12818821

    申请日：2010-06-18

    Applicant: Nicholas DUFFIELD

    Inventor： Nicholas DUFFIELD

    IPC: G10L15/04 ,  G10L21/00

    CPC classification number: G10L15/18 ,  G06F3/167 ,  G10L15/00 ,  G10L15/187 ,  G10L15/22 ,  G10L15/30 ,  G10L17/14 ,  H04M3/4936 ,  H04M2203/2061 ,  H04M2203/255 ,  H04M2250/58

    Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for approximating an accent source. A system practicing the method collects data associated with customer specific services, generates country-specific or dialect-specific weights for each service in the customer specific services list, generates a summary weight based on an aggregation of the country-specific or dialect-specific weights, and sets an interactive voice response system language model based on the summary weight and the country-specific or dialect-specific weights. The interactive voice response system can also change the user interface based on the interactive voice response system language model. The interactive voice response system can tune a voice recognition algorithm based on the summary weight and the country-specific weights. The interactive voice response system can adjust phoneme matching in the language model based on a possibility that the speaker is using other languages.

    Abstract translation: 本文公开了用于近似重音源的系统，方法和非暂时的计算机可读存储介质。 实施该方法的系统收集与客户特定服务相关联的数据，为客户特定服务列表中的每个服务生成特定于国家或方言的权重，基于国家特定或方言特定权重的聚合生成摘要权重 并且基于总体权重和针对具体国家或方言的权重设置交互式语音响应系统语言模型。 交互式语音响应系统还可以基于交互式语音响应系统语言模型改变用户界面。 交互式语音响应系统可以基于总体权重和国家特定权重调整语音识别算法。 交互式语音响应系统可以根据演讲者正在使用其他语言的可能性来调整语言模型中的音素匹配。

    Method for summarizing data in unaggregated data streams
    29.
    发明申请
    Method for summarizing data in unaggregated data streams 有权
    用于汇总未分组数据流中的数据的方法

    公开(公告)号：US20110153554A1

    公开(公告)日：2011-06-23

    申请号：US12653831

    申请日：2009-12-18

    Applicant: Edith Cohen ,  Nicholas Duffield ,  Haim Kaplan ,  Carsten Lund ,  Mikkel Thorup

    Inventor： Edith Cohen ,  Nicholas Duffield ,  Haim Kaplan ,  Carsten Lund ,  Mikkel Thorup

    IPC: G06F17/30

    CPC classification number: H04L43/028 ,  H04L43/04

    Abstract: A method for producing a summary A of data points in an unaggregated data stream wherein the data points are in the form of weighted keys (a, w) where a is a key and w is a weight, and the summary is a sample of k keys a with adjusted weights wa. A first reservoir L includes keys having adjusted weights which are additions of weights of individual data points of included keys and a second reservoir T includes keys having adjusted weights which are each equal to a threshold value τ whose value is adjusted based upon tests of new data points arriving in the data stream. The summary combines the keys and adjusted weights of the first reservoir L with the keys and adjusted weights of the second reservoir T to form the sample representing the data stream upon which further analysis may be performed. The method proceeds by first merging new data points in the stream into the reservoir L until the reservoir contains k different keys and thereafter applying a series of tests to new arriving data points to determine what keys and weights are to be added to or removed the reservoirs L and T to provide a summary with a variance that approaches the minimum possible for aggregated data sets. The method is composable, can be applied to high speed data streams such as those found on the Internet, and can be implemented efficiently.

    Abstract translation: 一种用于产生未聚集数据流中的数据点的摘要A的方法，其中数据点是加权密钥（a，w）的形式，其中a是密钥，w是权重，并且摘要是k的样本 键a与调整权重wa。 第一储存器L包括具有调整权重的密钥，这些密钥是附加密钥的各个数据点的加权的加法，而第二储存器T包括具有调整的权重的密钥，其各自等于基于新数据的测试来调整其值的阈值τ 到达数据流的点。 总结将第一储层L的密钥和调整的权重与密钥和第二储存器T的调整权重组合，以形成表示可以进行进一步分析的数据流的样本。 该方法通过首先将流中的新数据点合并到储存器L中，直到储存器包含k个不同的密钥，然后对新的到达数据点应用一系列测试，以确定要添加到或移除存储器的哪些密钥和权重 L和T提供一个总结，其方差接近汇总数据集的最小可能性。 该方法是可组合的，可以应用于诸如在因特网上发现的高速数据流，并且可以有效地实现。

    System and method for sampling network traffic
    30.
    发明授权
    System and method for sampling network traffic 有权
    系统和方法对网络流量进行采样

    公开(公告)号：US07957315B2

    公开(公告)日：2011-06-07

    申请号：US12342957

    申请日：2008-12-23

    Applicant: Nicholas Duffield ,  Lee M. Breslau ,  Cheng Ee ,  Alexandre Gerber ,  Carsten Lund ,  Subhabrata Sen

    Inventor： Nicholas Duffield ,  Lee M. Breslau ,  Cheng Ee ,  Alexandre Gerber ,  Carsten Lund ,  Subhabrata Sen

    IPC: H04L12/26

    CPC classification number: H04L43/04 ,  H04L43/022 ,  H04L43/026 ,  H04L43/062

    Abstract: Disclosed herein are systems, computer-implemented methods, and computer-readable media for sampling network traffic. The method includes receiving a plurality of flow records, calculating a hash for each flow record based on one or more invariant part of a respective flow, generating a quasi-random number from the calculated hash for each respective flow record, and sampling flow records having a quasi-random number below a probability P. Invariant parts of flow records include destination IP address, source IP address, TCP/UDP port numbers, TCP flags, and network protocol. A plurality of routers can uniformly calculate hashes for flow records. Each router in a plurality of routers can generate a same quasi-random number for each respective flow record and uses different values for probability P. The probability P can depend on a flow size. The method can divide the quasi-random number by a maximum possible hash value.

    Abstract translation: 本文公开了系统，计算机实现的方法和用于对网络业务进行采样的计算机可读介质。 该方法包括：接收多个流记录，基于相应流的一个或多个不变部分计算每个流记录的散列，从针对每个相应流记录的计算出的散列生成准随机数，以及对具有 低于概率P的准随机数。流记录的不变部分包括目的地IP地址，源IP地址，TCP / UDP端口号，TCP标志和网络协议。 多个路由器可以统一计算流记录的哈希值。 多个路由器中的每个路由器可以为每个相应的流记录生成相同的准随机数，并对概率P使用不同的值。概率P可以取决于流量大小。 该方法可以将准随机数除以最大可能的哈希值。

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