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    CAMPAIGN INTELLIGENCE AND VISUALIZATION FOR COMBATING CYBERATTACKS
    1.
    发明公开
    CAMPAIGN INTELLIGENCE AND VISUALIZATION FOR COMBATING CYBERATTACKS 审中-公开

    公开(公告)号：EP4290808A2

    公开(公告)日：2023-12-13

    申请号：EP23206708.2

    申请日：2020-11-03

    申请人： Microsoft Technology Licensing, LLC

    发明人： COSTEA, Mihai ,  BETSER, Michael Abraham ,  POLURI, Ravi Kiran Reddy ,  DING, Hua ,  LI, Weisheng ,  PAMPATI, Phanindra ,  YOST, David Nicholas

    IPC分类号： H04L9/40

    摘要： Methods, systems, and computer storage media for providing a multi-attribute cluster-identifier that supports identifying malicious activity in computing environments. An instance of an activity having an attribute set can be assessed. The attribute set of the instance of the activity is analyzed to determine whether the instance of the activity is a malicious activity. The attribute set of the instance of the activity is compared to a plurality of multi-attribute cluster-identifiers of previous instances of the activity, such that, a determination that the instance of the activity is a malicious activity is made when the attribute set of the instance of the activity corresponds to an identified multi-attribute cluster-identifier. The identified multi-attribute cluster-identifier has a risk score and an attribute set that indicate a likelihood that the instance of the activity is a malicious activity. A visualization that identifies the instance of the activity as a malicious activity is generated.

    CAMPAIGN INTELLIGENCE AND VISUALIZATION FOR COMBATING CYBERATTACKS
    2.
    发明公开
    CAMPAIGN INTELLIGENCE AND VISUALIZATION FOR COMBATING CYBERATTACKS 审中-公开

    公开(公告)号：EP4290808A3

    公开(公告)日：2024-02-21

    申请号：EP23206708.2

    申请日：2020-11-03

    申请人： Microsoft Technology Licensing, LLC

    发明人： COSTEA, Mihai ,  BETSER, Michael Abraham ,  POLURI, Ravi Kiran Reddy ,  DING, Hua ,  LI, Weisheng ,  PAMPATI, Phanindra ,  YOST, David Nicholas

    IPC分类号： G06F21/55 ,  G06F21/56 ,  H04L41/22 ,  H04L51/212 ,  H04L9/40

    摘要： Methods, systems, and computer storage media for providing a multi-attribute cluster-identifier that supports identifying malicious activity in computing environments. An instance of an activity having an attribute set can be assessed. The attribute set of the instance of the activity is analyzed to determine whether the instance of the activity is a malicious activity. The attribute set of the instance of the activity is compared to a plurality of multi-attribute cluster-identifiers of previous instances of the activity, such that, a determination that the instance of the activity is a malicious activity is made when the attribute set of the instance of the activity corresponds to an identified multi-attribute cluster-identifier. The identified multi-attribute cluster-identifier has a risk score and an attribute set that indicate a likelihood that the instance of the activity is a malicious activity. A visualization that identifies the instance of the activity as a malicious activity is generated.