ASSOCIATING A USER IDENTIFIER DETECTED FROM WEB TRAFFIC WITH A CLIENT ADDRESS

    公开(公告)号:US20190312893A1

    公开(公告)日:2019-10-10

    申请号:US16432400

    申请日:2019-06-05

    Abstract: In one embodiment, a device in a network receives a set of known user identifiers used in the network. The device receives web traffic log data regarding web traffic in the network. The web traffic log data includes header information captured from the web traffic and a plurality of client addresses associated with the web traffic. The device detects a particular one of the set of known user identifiers in the header information captured from the web traffic associated with a particular one of the plurality of client addresses. The device makes an association between the particular detected user identifier and the particular client address.

    ENCRYPTED TRAFFIC ANALYTICS OVER A MULTI-PATH TCP CONNECTION

    公开(公告)号:US20190245868A1

    公开(公告)日:2019-08-08

    申请号:US15891708

    申请日:2018-02-08

    CPC classification number: H04L63/1408 H04L43/04 H04L69/16

    Abstract: Methods and systems to estimate encrypted multi-path TCP (MPTCP) network traffic include restricting traffic in a first direction (e.g., uplink) to a single path, and estimating traffic of multiple subflows of a second direction (e.g., downlink) based on traffic over the single path of the first direction. The estimating may be based on, without limitation, acknowledgment information of the single path, a sequence of acknowledgment numbers of the single path, an unencrypted initial packet sent over the single path as part of a secure tunnel setup procedure, TCP header information of the unencrypted initial packet (e.g., sequence number, acknowledgment packet, and/or acknowledgment packet length), and/or metadata of packets of the single path (e.g., regarding cryptographic algorithms, Diffie-Helman groups, and/or certificate related data).

    PRIVATE-LEARNED IDS
    167.
    发明申请
    PRIVATE-LEARNED IDS 审中-公开

    公开(公告)号:US20190014134A1

    公开(公告)日:2019-01-10

    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.

    Inspection of Traffic via SDN
    170.
    发明申请
    Inspection of Traffic via SDN 审中-公开
    通过SDN检查交通

    公开(公告)号:US20170019417A1

    公开(公告)日:2017-01-19

    申请号:US14802033

    申请日:2015-07-17

    CPC classification number: H04L43/026 H04L43/062 H04L43/12 H04L63/14

    Abstract: A method and related apparatus for performing inspection of flows within a software defined network includes identifying a security appliance within a software defined network, identifying candidate traffic flows flowing in the software defined network to be inspected, selecting one of the candidate traffic flows for security inspection, and communicating with a software defined network controller to cause the one of the candidate traffic flows to be redirected towards the security appliance for inspection or to cause the one of the candidate traffic flows to be copied and a resulting copy thereof forwarded to the security appliance for inspection.

    Abstract translation: 一种在软件定义的网络内执行流程检查的方法和相关装置包括识别软件定义的网络内的安全设备,识别在待检查的软件定义的网络中流动的候选业务流,选择候选业务流中的一个进行安全检查 并且与软件定义的网络控制器进行通信,以将所述候选业务流中的一个重定向到所述安全设备进行检查,或使所述候选业务流中的一个被复制,并将其所得到的副本转发到所述安全设备 供检查。

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