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

    Abstract: 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

    Abstract: 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.

    BEHAVIOR BASED PROFILING
    7.
    发明申请

    公开(公告)号:US20250071132A1

    公开(公告)日:2025-02-27

    申请号:US18947802

    申请日:2024-11-14

    Abstract: Systems, methods, and related technologies for profiling an entity and classifying an entity based on a profile are described. In certain aspects, data associated with communications of a first entity on a network are accessed, behaviors are determined based on the data associated with the communications of the first entity, and sequences of the behaviors of the first entity are determined. A profile of the first entity is determined based on the sequences of the behaviors, the profile including a classification of the first entity, a state machine of the profile of the first entity is determined, the state machine being associated with the classification against which the behaviors can be matched, a second entity is detected coming onto the network, and responsive to detecting the second entity coming onto the network, the second entity is classified based on the state machine of the profile of the first entity.

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