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    METHOD OF COLLECTING AND PROCESSING COMPUTER USER DATA DURING INTERACTION WITH WEB-BASED CONTENT
    5.
    发明授权
    METHOD OF COLLECTING AND PROCESSING COMPUTER USER DATA DURING INTERACTION WITH WEB-BASED CONTENT 有权
    在基于WEB的内容交互期间收集和处理计算机用户数据的方法

    公开(公告)号：EP3164802B1

    公开(公告)日：2018-04-18

    申请号：EP15735662.7

    申请日：2015-06-30

    Applicant: Realeyes OÜ

    Inventor： HAJIYEV, Elnar ,  SALO, Martin

    IPC: G06F11/34

    CPC classification number: G06F11/3438 ,  G06F3/011 ,  G06F11/302 ,  G06F11/3089 ,  G06F11/3476 ,  G06F17/2247 ,  G06F17/30053 ,  G06F2201/86 ,  G06F2201/875 ,  H04L63/10

    Abstract: Embodiments of the invention provide a computer-implemented method of collecting computer user behavioural data during an interaction between a computer user and web-based content accessible via a computing device. A behavioural data collection activation script is provided, which may be provided within executable code of a webpage or media player executable on a webpage. The script runs during loading of the webpage or media player or upon execution of a specific operation or action within the webpage or media player. The script triggers activation of a data recording component on the computing device via a browser-based application programming interface (API), and triggers initiation of a behavioural data collection application on the computing device, which receives information from the data recording component as an input.

    MALICIOUS THREAT DETECTION THROUGH TIME-SERIES GRAPH ANALYSIS
    6.
    发明公开
    MALICIOUS THREAT DETECTION THROUGH TIME-SERIES GRAPH ANALYSIS 审中-公开
    通过时间序列图分析进行恶意威胁检测

    公开(公告)号：EP3293658A1

    公开(公告)日：2018-03-14

    申请号：EP17188295.4

    申请日：2017-08-29

    Applicant: Accenture Global Solutions Limited

    Inventor： DIVALENTIN, Louis William ,  PATTERSON, Joshua ,  KRAUS, Keith ,  BURKETT, Robin Lynn ,  WENDT, Michael Evan

    IPC: G06F21/55 ,  H04L29/06

    CPC classification number: H04L63/1416 ,  G06F17/30551 ,  G06F17/30563 ,  G06F21/552 ,  G06F2201/81 ,  G06F2201/835 ,  G06F2201/86 ,  H04L63/1425 ,  H04L63/1433

    Abstract: Malicious threat detection through time-series graph analysis, in which a data analysis device receives a data file comprising multiple log data entries. The log data entries include parameters associated with a computer network event in a computing network. The data analysis device produces a graphical model of the computing network based on at least one parameter included in the log data. The data analysis device also identifies a parameter associated with a node of the computer network represented by the graphical model, and performs a time-series analysis on the parameter. The data analysis device further determines, based on the time-series analysis on the parameter, at least one of an anomalous event associated with the computing network or a malicious event associated with the computing network.

    Abstract translation: 通过时间序列图分析进行恶意威胁检测，其中数据分析设备接收包含多个日志数据条目的数据文件。 日志数据条目包括与计算网络中的计算机网络事件相关联的参数。 数据分析设备基于包括在日志数据中的至少一个参数来产生计算网络的图形模型。 数据分析装置还识别与由图形模型表示的计算机网络的节点相关联的参数，并且对该参数执行时间序列分析。 数据分析设备还基于对参数的时间序列分析来确定与计算网络相关联的异常事件或与计算网络相关联的恶意事件中的至少一个。

    System and methods for ensuring fault tolerance of antivirus protection realized in a virtual environment
    7.
    发明授权
    System and methods for ensuring fault tolerance of antivirus protection realized in a virtual environment 有权
    用于确保在虚拟环境中实现的防病毒保护的容错的系统和方法

    公开(公告)号：EP2933748B1

    公开(公告)日：2018-03-07

    申请号：EP14186504.8

    申请日：2014-09-26

    Applicant: Kaspersky Lab, ZAO

    Inventor： Gridnev, Sergey N. ,  Yarykin, Pavel N.

    IPC: G06F21/56 ,  G06F21/53 ,  G06F11/14

    CPC classification number: H04L63/20 ,  G06F11/1443 ,  G06F11/1484 ,  G06F11/3003 ,  G06F21/56 ,  G06F2201/86 ,  G06F2201/865 ,  H04L63/1425 ,  H04L67/1002

    Abstract: Disclosed are systems and methods for ensuring fault tolerance of antivirus protection realized in a virtual environment. An example method includes collecting, by a antivirus agent in a virtual machine, information about available security virtual machines that provide at least one or more resource-intensive methods of antivirus checking of programs running on the virtual machine; analyzing the collected information to determine a location of the virtual machine relative to the security virtual machines and determine priorities for each of the security virtual machines based on the location of the virtual machine relative; forming a list of the available security virtual machines according to the priorities of the security virtual machines to identify a primary security virtual machine; connecting the virtual machine to the primary security virtual machine; and requesting the primary security virtual machine to perform at least antivirus checking of one or more programs running on the virtual machine.

    DATA STREAM PROCESSING LANGUAGE FOR ANALYZING INSTRUMENTED SOFTWARE
    10.
    发明公开
    DATA STREAM PROCESSING LANGUAGE FOR ANALYZING INSTRUMENTED SOFTWARE 审中-公开
    数据流处理语言分析仪器软件

    公开(公告)号：EP3234776A1

    公开(公告)日：2017-10-25

    申请号：EP15870999.8

    申请日：2015-12-16

    Applicant: Signalfx, Inc.

    Inventor： RAMAN, Rajesh ,  MUKHERJI, Arijit ,  GRANDY, Kris ,  LIU, Phillip

    IPC: G06F11/08 ,  G06F11/26

    CPC classification number: G06F8/443 ,  G06F9/466 ,  G06F9/542 ,  G06F11/07 ,  G06F11/3006 ,  G06F11/3072 ,  G06F11/3086 ,  G06F11/34 ,  G06F11/3409 ,  G06F11/3452 ,  G06F11/3466 ,  G06F11/3604 ,  G06F17/3012 ,  G06F17/30516 ,  G06F2201/81 ,  G06F2201/835 ,  G06F2201/86 ,  G06F2201/88

    Abstract: An instrumentation analysis system processes data streams by executing instructions specified using a data stream language program. The data stream language allows users to specify a search condition using a find block for identifying the set of data streams processed by the data stream language program. The set of identified data streams may change dynamically. The data stream language allows users to group data streams into sets of data streams based on distinct values of one or more metadata attributes associated with the input data streams. The data stream language allows users to specify a threshold block for determining whether data values of input data streams are outside boundaries specified using low/high thresholds. The elements of the set of data streams input to the threshold block can dynamically change. The low/high threshold values can be specified as data streams and can dynamically change.

    Abstract translation: 仪器分析系统通过执行使用数据流语言程序指定的指令来处理数据流。 数据流语言允许用户使用查找块指定搜索条件，用于识别由数据流语言程序处理的数据流组。 所识别的数据流的集合可以动态改变。 数据流语言允许用户基于与输入数据流相关联的一个或多个元数据属性的不同值将数据流分组为数据流集合。 数据流语言允许用户指定用于确定输入数据流的数据值是否使用低/高阈值指定的外部边界的阈值块。 输入到阈值块的一组数据流的元素可以动态改变。 低/高阈值可以指定为数据流并可以动态改变。

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