INCREASING DATA AVAILABILITY
    1.
    发明公开

    公开(公告)号:US20230275818A1

    公开(公告)日:2023-08-31

    申请号:US18310617

    申请日:2023-05-02

    摘要: Systems, methods, and related technologies for increasing data availability. The determining of one or more recommendations to improve classification may include accessing network traffic from a network and selecting an entity. One or more values associated with one or more properties associated with the entity may be determined. The one or more values may be accessed from the network traffic. The entity may be classified and in response to the classification meeting a condition, one or more properties that are unavailable in the network traffic may be determined. A data source associated with the one or more properties for which a value is not present in the network traffic may be determined and the data source associated with the one or more properties that are unavailable in the network traffic may be stored.

    Multiple sourced classification
    2.
    发明授权

    公开(公告)号:US11463469B2

    公开(公告)日:2022-10-04

    申请号:US16834921

    申请日:2020-03-30

    发明人: Yang Zhang

    IPC分类号: H04L9/40 G06N20/00

    摘要: Systems, methods, and related technologies for improving classification use multiple classification resources. Network traffic from a network may be accessed and an entity may be selected. One or more values associated with one or more properties associated with the entity may be determined. The one or more values may be accessed from the network traffic. A first classification result of the entity based on accessing one or more local profiles is determined by a processing device. In response to the first classification result meeting a condition, one or more values associated with one or more properties associated with the entity may be sent (e.g., to a cloud based classification resource). A second classification result may be received. The second classification result may be determined based one accessing at least one remote profile. At least one of the first classification result or the second classification result may be stored.

    SELF-TRAINING CLASSIFICATION
    5.
    发明申请

    公开(公告)号:US20210006465A1

    公开(公告)日:2021-01-07

    申请号:US17024469

    申请日:2020-09-17

    摘要: Systems, methods, and related technologies for self-training classification are described. In certain aspects, a plurality of device classification methods with associated models are accessed. Each of the classification methods have an associated reliability level. The models of classification methods with a higher reliability level than other classifications methods are used to train the models associated with lower reliability level. The trained models and associated classification methods are thus improved.

    BEHAVIOR BASED PROFILING
    6.
    发明申请

    公开(公告)号:US20200287924A1

    公开(公告)日:2020-09-10

    申请号:US16297335

    申请日:2019-03-08

    IPC分类号: H04L29/06 G06N5/04 G06F16/28

    摘要: Systems, methods, and related technologies for profiling an entity and classifying an entity based on a profile are described. In certain aspects, accessing data associated with one or more communications of an entity is accessed and one or more behaviors based on the data associated with the one or more communications of the entity are determined. One or more sequences of the one or more behaviors of the entity are determined and a profile is determined based on the one or more sequences of the one or more behaviors, wherein the profile comprises a classification of the entity. The profile may then be stored.

    Multiple granularity classification

    公开(公告)号:US12131266B2

    公开(公告)日:2024-10-29

    申请号:US18318959

    申请日:2023-05-17

    IPC分类号: H04L9/40 G06N5/04 G06N20/00

    摘要: Systems, methods, and related technologies for classification are described. Network traffic from a network may be accessed and an entity may be selected. One or more values associated with one or more properties associated with the entity may be determined. The one or more values may be accessed from the network traffic. A first model associated with a first level of granularity is accessed. A first classification result of the entity based on the first model is determined by a processing device. A second model associated with a second level of granularity is accessed. The second level of granularity is higher than the first level of granularity and the second model is accessed based on the first classification result. A second classification result of the entity based on the second model is determined. At least one of the first classification result or the second classification result is stored.

    Multiple sourced classification
    9.
    发明授权

    公开(公告)号:US11876827B2

    公开(公告)日:2024-01-16

    申请号:US17950270

    申请日:2022-09-22

    发明人: Yang Zhang

    IPC分类号: H04L9/40 G06N20/00

    摘要: Systems, methods, and related technologies for improving classification use multiple classification resources. The method includes accessing network traffic from a network comprising a plurality of entities, and determining, based on the network traffic, one or more values associated with one or more properties of an entity of the plurality of entities. The method also includes determining, by a processing device, a first classification result of the entity based on the one or more values and at least one local profile, and determining a second classification result of the entity, wherein the second classification result of the entity is based on the one or more values and at least one remote profile.