Systems and methods for detecting vulnerabilities in network processes during runtime

    公开(公告)号:US11706239B2

    公开(公告)日:2023-07-18

    申请号:US17003450

    申请日:2020-08-26

    CPC classification number: H04L63/1433

    Abstract: Systems, methods, and non-transitory computer-readable storage media are disclosed for detecting vulnerabilities in real-time during execution of a process or an application. In one example, a device may have one or more memories storing computer-readable instructions and one or more processors configured to execute the computer-readable instructions to obtain real-time process information associated with a process executing in an endpoint. The device can then determine package information for a package associated with the process based on the process information. The device can then identify at least one vulnerability associated with the package information using a database of vulnerabilities stored on a backend component of the network. The backend component may have a database of vulnerabilities for packages.

    Federated microburst detection
    85.
    发明授权

    公开(公告)号:US10972388B2

    公开(公告)日:2021-04-06

    申请号:US15359511

    申请日:2016-11-22

    Abstract: An example method includes a sensor detecting multiple packets of a flow during a specified total time period (e.g., a reporting time period). The total time period can be subdivided into multiple time periods. The sensor can analyze the detected packets to determine an amount of network utilization for each of the time periods. The sensor can then generate a flow summary based on the network utilization and the flow and send the flow summary to an analytics engine. Multiple other sensors can do similarly for their respective packets and flows. The analytics engine can receive the flow summaries from the various sensors and determine a correspondence between flow with high network utilization at a specific time period and a node or nodes. These nodes that experienced multiple flows with high network utilization for a certain period of time can be identified as experiencing a microburst.

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