Private-learned IDS
    121.
    发明授权

    公开(公告)号:US10708284B2

    公开(公告)日:2020-07-07

    申请号:US15643573

    申请日:2017-07-07

    Abstract: In one embodiment, a device in a network maintains a plurality of machine learning-based detectors for an intrusion detection system. Each detector is associated with a different portion of a feature space of traffic characteristics assessed by the intrusion detection system. The device provides data regarding the plurality of detectors to a user interface. The device receives an adjustment instruction from the user interface based on the data provided to the user interface regarding the plurality of detectors. The device adjusts the portions of the feature space associated with the plurality of detectors based on the adjustment instruction received from the user interface.

    TRAINING A MACHINE LEARNING-BASED TRAFFIC ANALYZER USING A PROTOTYPE DATASET

    公开(公告)号:US20180189677A1

    公开(公告)日:2018-07-05

    申请号:US15399081

    申请日:2017-01-05

    Abstract: In one embodiment, a device in a network generates a feature vector based on traffic flow data regarding one or more traffic flows in the network. The device makes a determination as to whether the generated feature vector is already represented in a training dataset dictionary by one or more feature vectors in the dictionary. The device updates the training dataset dictionary based on the determination by one of: adding the generated feature vector to the dictionary when the generated feature vector is not already represented by one or more feature vectors in the dictionary, or incrementing a count associated with a particular feature vector in the dictionary when the generated feature vector is already represented by the particular feature vector in the dictionary. The device generates a training dataset based on the training dataset dictionary for training a machine learning-based traffic flow analyzer.

Patent Agency Ranking