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    PREDICTING THE EFFICACY OF ISSUES DETECTED WITH MACHINE EXECUTED DIGITIZED INTELLECTUAL CAPITAL
    1.
    发明申请
    PREDICTING THE EFFICACY OF ISSUES DETECTED WITH MACHINE EXECUTED DIGITIZED INTELLECTUAL CAPITAL 有权

    公开(公告)号：US20220231928A1

    公开(公告)日：2022-07-21

    申请号：US17153252

    申请日：2021-01-20

    Applicant: Cisco Technology, Inc.

    Inventor： Donald Mark Allen ,  Dmitri Goloubev

    IPC: H04L12/24 ,  G06F11/34

    Abstract: A digitized Intellectual Capital (IC) system obtains code modules configured to detect one or more issues in a computing system. The IC system selects from the code modules to generate a first set of code modules based on a corresponding value metric. The corresponding value metric for each code module in the first set of code modules is higher than a predetermined threshold. The IC system also samples from the remainder of the code modules unselected for the first set of code modules to generate a second set of code modules. The IC system runs the first set of code modules and the second set of code modules to detect the one or more issues and updates the corresponding value metric for at least one code module.

    SPATIO-TEMPORAL EVENT WEIGHT ESTIMATION FOR NETWORK-LEVEL AND TOPOLOGY-LEVEL REPRESENTATIONS
    4.
    发明申请
    SPATIO-TEMPORAL EVENT WEIGHT ESTIMATION FOR NETWORK-LEVEL AND TOPOLOGY-LEVEL REPRESENTATIONS 有权

    公开(公告)号：US20220086050A1

    公开(公告)日：2022-03-17

    申请号：US17079728

    申请日：2020-10-26

    Applicant: Cisco Technology, Inc.

    Inventor： Dmitri Goloubev ,  Nassim Benoussaid ,  Luc De Ghein ,  Carlos M. Pignataro ,  Hugo M. Latapie

    IPC: H04L12/24 ,  H04L29/06 ,  H04L12/715

    Abstract: Presented herein are techniques to analyze network anomaly signals based on both a spatial component and a temporal component. A method includes identifying a plurality of factors that trigger a first anomaly signal by a first network node and a second anomaly signal by a second network node in a network comprising a plurality of network nodes, determining that the first network node is adjacent to the second network node in the plurality of network nodes, calculating an anomaly severity score for the first network node based on a number of co-occurring factors from among the plurality of factors that trigger both the first anomaly signal and the second anomaly signal, and adjusting the anomaly severity score for the first network node based on a value of a prior anomaly severity score for the first network node.

    ANOMALY CLASSIFICATION WITH ATTENDANT WORD ENRICHMENT
    5.
    发明申请
    ANOMALY CLASSIFICATION WITH ATTENDANT WORD ENRICHMENT 有权

    公开(公告)号：US20210342543A1

    公开(公告)日：2021-11-04

    申请号：US16914899

    申请日：2020-06-29

    Applicant: Cisco Technology, Inc.

    Inventor： Dmitri Goloubev ,  Nassim Benoussaid ,  Volodymyr Iashyn ,  Borys Viacheslavovych Berlog ,  Carlos M. Pignataro

    IPC: G06F40/30 ,  G06F16/35 ,  G06F16/28 ,  G06N20/00 ,  G06F40/279

    Abstract: A method includes associating anomalous first text, from a first unstructured data set, with a first classification; processing the first unstructured data set using at least one of ML or AI to identify a second text that is in close context to the first text, and adding the second text to a text list associated with the first classification; enriching the text list by processing the second text to generate a third text, and adding the third text to the text list to produce an enriched text list and such that the third text is also associated with the first classification; matching the text in the enriched text list to text in a second unstructured data set; and classifying the text in the second unstructured data set as having the first classification when the text in the second unstructured data set matches text in the enriched text list.

    Distributed virtualization of telemetry processing with IP anycast
    6.
    发明授权
    Distributed virtualization of telemetry processing with IP anycast 有权

    公开(公告)号：US12278737B2

    公开(公告)日：2025-04-15

    申请号：US17978259

    申请日：2022-11-01

    Applicant: Cisco Technology, Inc.

    Inventor： Dmitri Goloubev ,  Peter De Vriendt ,  Donald M. Allen ,  Luc De Ghein

    IPC: H04L41/14 ,  H04L43/062 ,  H04L61/5069

    Abstract: Presented herein are techniques to analyze network traffic and equipment based on telemetry generated by a plurality of network devices. A method includes generating first telemetry at a first network device, receiving, at the first network device, via an Internet Protocol anycast addressing scheme, at least one of second telemetry generated at a second network device, and third telemetry generated at a third network device, performing, on the first network device using a local processing unit, first analytics on the first telemetry, performing, on the first network device using the local processing unit, second analytics on the at least one of the second telemetry and the third telemetry, and transmitting data resulting from the first analytics and the second analytics to a fourth network device.

    DISTRIBUTED VIRTUALIZATION OF TELEMETRY PROCESSING WITH IP ANYCAST
    7.
    发明公开
    DISTRIBUTED VIRTUALIZATION OF TELEMETRY PROCESSING WITH IP ANYCAST 审中-公开

    公开(公告)号：US20240146614A1

    公开(公告)日：2024-05-02

    申请号：US17978259

    申请日：2022-11-01

    Applicant: Cisco Technology, Inc.

    Inventor： Dmitri Goloubev ,  Peter De Vriendt ,  Donald M. Allen ,  Luc De Ghein

    IPC: H04L41/14 ,  H04L43/062 ,  H04L61/5069

    CPC classification number: H04L41/14 ,  H04L43/062 ,  H04L61/5069

    Abstract: Presented herein are techniques to analyze network traffic and equipment based on telemetry generated by a plurality of network devices. A method includes generating first telemetry at a first network device, receiving, at the first network device, via an Internet Protocol anycast addressing scheme, at least one of second telemetry generated at a second network device, and third telemetry generated at a third network device, performing, on the first network device using a local processing unit, first analytics on the first telemetry, performing, on the first network device using the local processing unit, second analytics on the at least one of the second telemetry and the third telemetry, and transmitting data resulting from the first analytics and the second analytics to a fourth network device.

    SENSOR FUSION FOR TRUSTWORTHY DEVICE IDENTIFICATION AND MONITORING
    8.
    发明申请
    SENSOR FUSION FOR TRUSTWORTHY DEVICE IDENTIFICATION AND MONITORING 审中-公开

    公开(公告)号：US20200267543A1

    公开(公告)日：2020-08-20

    申请号：US16278430

    申请日：2019-02-18

    Applicant: Cisco Technology, Inc.

    Inventor： Charles Calvin Byers ,  M. David Hanes ,  Gonzalo Salgueiro ,  Dmitri Goloubev ,  Joseph Michael Clarke

    IPC: H04W12/00 ,  H04W12/12 ,  G06N20/00

    Abstract: Presented herein are methodologies to on-board and monitor Internet of Things (IoT) devices on a network. The methodology includes receiving at a server, from a plurality of IoT devices communicating over a network, data representative of external environmental factors being experienced by individual ones of the plurality of IoT devices at a predetermined location; generating, using machine learning, an aggregated model of the external environmental factors at the predetermined location; receiving, at the server, a communication indicative that a new IoT device seeks to join the network at the predetermined location; receiving, from the new IoT device, data representative of external environmental factors being experienced by the new IoT device; determining whether there is a discrepancy between the external environmental factors of the new IoT device and the aggregated model; and when there is such a discrepancy, prohibiting the new IoT device from joining the network.

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