DETECTING THREATS TO DATACENTER BASED ON ANALYSIS OF ANOMALOUS EVENTS

    公开(公告)号:US20230011957A1

    公开(公告)日:2023-01-12

    申请号:US17372271

    申请日:2021-07-09

    Applicant: VMware, Inc.

    Abstract: Some embodiments provide a method for detecting a threat to a datacenter. The method receives a set of connections between a set of DCNs in the datacenter over a particular time period. The set of DCNs includes at least a first DCN at which a first anomalous event was detected. The method analyzes a set of detected anomalous events to identify additional anomalous events detected at other DCNs in the set of DCNs during the particular time period. Based on the first anomalous event and identified additional anomalous events, the method determines whether the anomalous events indicate a threat to the datacenter.

    Analyzing flow group attributes using configuration tags

    公开(公告)号:US11140090B2

    公开(公告)日:2021-10-05

    申请号:US16520238

    申请日:2019-07-23

    Applicant: VMware, Inc.

    Abstract: Some embodiments provide a novel method for correlating configuration data received from the network manager computer with flow group records. In some embodiments, the correlation with the configuration data identifies a group associated with at least one of: (i) the source machine, (ii) destination machine, and (iii) service rules applied to the flows. The correlation with the configuration data, in some embodiments, also identifies whether a service rule applied to the flows is a default service rule. In some embodiments, the correlation with the configuration is based on a tag included in the flow group record that identifies a configuration version, and a configuration associated with the identified configuration version is used to identify the group association or the identity of the default service rule.

    IDENTIFICATION OF TIME-ORDERED SETS OF CONNECTIONS TO IDENTIFY THREATS TO A DATACENTER

    公开(公告)号:US20230011043A1

    公开(公告)日:2023-01-12

    申请号:US17372268

    申请日:2021-07-09

    Applicant: VMware, Inc.

    Abstract: Some embodiments provide a method for detecting a threat to a datacenter. The method generates a graph of connections between data compute nodes (DCNs) in the datacenter. Each connection has an associated time period during which the connection is active. The method receives an anomalous event occurring during a particular time period at a particular DCN operating in the datacenter. The method analyzes the generated graph to determine a set of paths between DCNs in the datacenter that include connections to the particular DCN during the particular time period. The method uses the set of paths to identify a threat to the datacenter.

    SECURITY THREAT DETECTION BASED ON NETWORK FLOW ANALYSIS

    公开(公告)号:US20220239683A1

    公开(公告)日:2022-07-28

    申请号:US17220550

    申请日:2021-04-01

    Applicant: VMware, Inc.

    Abstract: Some embodiments provide a method for identifying security threats to a datacenter. From multiple host computers in the datacenter, the method receives data indicating port usage for a particular time period for each of multiple destination data compute nodes (DCNs) executing on the host computers. For each DCN of a set of the destination DCNs, identifies whether the port usage for the particular time period deviates from a historical baseline port usage for the DCN. When the port usage for a particular DCN deviates from the historical baseline for the particular DCN, the method identifies the particular DCN as a target of a security threat.

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