Machine learning detection of network attacks using traffic and log information

    公开(公告)号:US20220263842A1

    公开(公告)日:2022-08-18

    申请号:US17571342

    申请日:2022-01-07

    申请人: Ciena Corporation

    IPC分类号: H04L9/40 G06N3/08

    摘要: Systems and methods for detecting intrusions, attacks, and sub-attacks launched against a network under observations are provided. A method, according to one implementation, includes obtaining network traffic information regarding data traffic in a network under observation and obtaining system log information regarding operations of the network under observation. The method further includes the step of inserting the network traffic information and system log information into one or more analysis procedures, where each analysis procedure is configured to detect a respective sub-attack of a multi-stage attack to which the network under observation is susceptible. Also, the method includes the step of combining the outputs of the one or more analysis procedures to detect whether one or more sub-attacks have been launched against the network under observation. In response to detecting that one or more sub-attacks have been launched, the methods include the step of determining the type of the one or more sub-attacks.

    Forecasting time-series data in a network environment

    公开(公告)号:US20210150305A1

    公开(公告)日:2021-05-20

    申请号:US16687902

    申请日:2019-11-19

    申请人: Ciena Corporation

    IPC分类号: G06N3/02 G06N5/02 H04L12/24

    摘要: Systems, methods, and computer-readable medium for forecasting a time-series are provided. In one implementation, a method is configured to include a step of providing a time-series to a neural network including one or more branches for processing one or more portions of the time-series. In each of the one or more branches, the method includes separating the respective portion of the time-series into individual portions and applying each portion to a respective sub-branch of a plurality of sub-branches of the one or more branches. The method also includes generating forecasting coefficients for each output time point in each of the respective sub-branches and providing a forecast of the time-series based at least on the forecasting coefficients.

    Autonomic resource partitions for adaptive networks

    公开(公告)号:US20190230046A1

    公开(公告)日:2019-07-25

    申请号:US16251394

    申请日:2019-01-18

    申请人: Ciena Corporation

    摘要: System and methods for autonomous resource partitioning in a network include a resource controller configured to provision resources which are any of virtual resources and physical resources in one or more layers in the network and monitor availability of the resources in the network; a resource manager configured to determine the any of virtual resources and physical resources as required for Quality of Service (QoS) in the network; a resource broker configured to advertise and assign resource requests to corresponding resources; and a partition manager configured to track the utilization of the resources provided by the one or more layers and to adjust resource usage of the resources in negotiation with the resource broker to minimize a cost of implementation.

    Multi-layer modem reclamation systems and methods

    公开(公告)号:US10069570B2

    公开(公告)日:2018-09-04

    申请号:US15007395

    申请日:2016-01-27

    申请人: Ciena Corporation

    摘要: Modem reclamation systems and methods for optimizing optical modem use in a network include determining costs and capacity range for Lx adjacencies in the network based on Lx information and L0 information, wherein Lx is a digital layer with routed traffic and L0 is a media layer with optical modems that are reclaimed when their utilization is reduced in the digital layer; determining an order of Lx connection moves that minimizes the costs of the Lx adjacencies, to reclaim or minimize the optical modem use; and performing the Lx connection moves based on the order and updating the Lx adjacencies.