COMPUTER-IMPLEMENTED SYSTEM AND METHOD FOR CREATING AN ENVIRONMENT FOR DETECTING MALICIOUS CONTENT

    公开(公告)号:US20200344254A1

    公开(公告)日:2020-10-29

    申请号:US16872077

    申请日:2020-05-11

    Applicant: Splunk Inc.

    Abstract: Techniques and mechanisms are disclosed for creating an environment for detecting malicious network traffic. A test computer network including a plurality of cloned nodes is created. The plurality of cloned nodes in the test computer network corresponds to at least some of a plurality of target nodes of a host computer network, and the test computer network has no network connectivity to the host computer network. Sensors in both the host computer network and the test computer network generate network flow records that are sent to a detection processing pipeline. The detection processing pipeline merges the records received from the sensors and uses the merged records to train at least one model used to identify instances of malicious network traffic.

    Generating malicious network traffic detection models using cloned network environments

    公开(公告)号:US11588841B2

    公开(公告)日:2023-02-21

    申请号:US16872077

    申请日:2020-05-11

    Applicant: Splunk Inc.

    Abstract: Techniques and mechanisms are disclosed for creating an environment for detecting malicious network traffic. A test computer network including a plurality of cloned nodes is created. The plurality of cloned nodes in the test computer network corresponds to at least some of a plurality of target nodes of a host computer network, and the test computer network has no network connectivity to the host computer network. Sensors in both the host computer network and the test computer network generate network flow records that are sent to a detection processing pipeline. The detection processing pipeline merges the records received from the sensors and uses the merged records to train at least one model used to identify instances of malicious network traffic.

    Computer-implemented system and method for creating an environment for detecting malicious content

    公开(公告)号:US10652261B2

    公开(公告)日:2020-05-12

    申请号:US15885709

    申请日:2018-01-31

    Applicant: Splunk Inc.

    Abstract: Techniques and mechanisms are disclosed for creating an environment for detecting malicious network traffic. A test computer network including a plurality of cloned nodes is created. The plurality of cloned nodes in the test computer network corresponds to at least some of a plurality of target nodes of a host computer network, and the test computer network has no network connectivity to the host computer network. Sensors in both the host computer network and the test computer network generate network flow records that are sent to a detection processing pipeline. The detection processing pipeline merges the records received from the sensors and uses the merged records to train at least one model used to identify instances of malicious network traffic.

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