Systems and methods for training a machine learning model to detect beaconing communications

    公开(公告)号:US12088611B1

    公开(公告)日:2024-09-10

    申请号:US17573399

    申请日:2022-01-11

    Applicant: SPLUNK Inc.

    Abstract: A computerized method is disclosed that includes operations of obtaining historical network traffic and preparing a training set of data by: applying security rules to the historical network traffic data to obtain a first filtered subset of network transmissions representing a first set of beaconing candidates that is labeled to form a first set of labeled results, applying a clustering logic to the historical network traffic data to obtain a second filtered subset of network transmissions representing a second set of beaconing candidates that is labeled to form a second set of labeled results, applying a machine learning model to the historical network traffic data to label the historical network traffic forming a third set of labeled results, wherein the first, second and third sets of labeled results are augmented to form an augmented labeled training set, and training a machine learning model using the augmented labeled training set.

    Systems and methods for detecting beaconing communications using machine learning techniques

    公开(公告)号:US12199997B1

    公开(公告)日:2025-01-14

    申请号:US17573335

    申请日:2022-01-11

    Applicant: SPLUNK Inc.

    Abstract: A computerized method is disclosed that includes operations of obtaining network traffic data between a source device and a destination device, applying a set of one or more security rules to a plurality of metrics of the network traffic data to obtain a subset of network traffic metrics, applying a first trained machine learning model to the subset of network traffic metrics to generate a feature vector through feature extraction of the subset of network traffic metrics, and evaluate the feature vector for a presence of beaconing and classify the subset of network traffic metrics, and responsive to the classifying of the subset of network traffic metrics, generating a flag for a system administrator. The plurality of metrics include at least one or more of packet size, packet transmission rate, or a ratio of (i) packet size for inbound packets and (ii) packet size for outbound packets.

    Systems and methods for detecting beaconing communications in aggregated traffic data

    公开(公告)号:US11936545B1

    公开(公告)日:2024-03-19

    申请号:US17573195

    申请日:2022-01-11

    Applicant: SPLUNK Inc.

    CPC classification number: H04L43/0894 H04L43/062

    Abstract: A computerized method is disclosed that includes operations of obtaining network traffic data between a source device and a destination device, performing a regularity assessment of a first metric of the network traffic data across communication sessions of the source device and the destination device over a given time period by: determining an average of the first metric for each of the communication sessions; establishing an upper bound and a lower bound for the averages of the first metric over the given time period; determining a difference between the upper bound and the lower bound; comparing the difference between the upper bound and the lower bound to a mean of the first metric for each of the communication sessions over the given time period, and determining whether beaconing transmissions are present within the network traffic data based on the regularity assessment of the first metric.

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