公开(公告)号：US09860698B1

公开(公告)日：2018-01-02

申请号：US15194062

申请日：2016-06-27

Applicant: Cisco Technology, Inc.

Inventor： Pete Rai ,  Andre Jean-Marie Surcouf ,  Enzo Fenoglio ,  Joseph T. Friel ,  Hugo Mike Latapie ,  Toerless Tobias Eckert

IPC: H04W24/00 ,  H04W4/02 ,  H04W4/12 ,  H04L29/08 ,  H04W12/06

CPC classification number: H04W4/021 ,  H04L67/22 ,  H04W4/12 ,  H04W12/06

Abstract: In some implementations a method includes receiving a first message from a computing device via a first network. The first message may indicate that the computing device is unable to communicate with a second network. The method also includes determining whether a beacon operator has requested tracking of the computing device. The method further includes transmitting a second message to the beacon operator when the beacon operator has requested tracking of the computing device. The second message may include a first geographical location identified by the first network.

公开(公告)号：US20170337285A1

公开(公告)日：2017-11-23

申请号：US15160588

申请日：2016-05-20

Applicant: Cisco Technology, Inc.

Inventor： Joseph T. Friel ,  Hugo Mike Latapie ,  Andre Jean-Marie Surcouf ,  Enzo Fenoglio ,  Pete Rai

IPC: G06F17/30

CPC classification number: G06F16/951

Abstract: Various implementations disclosed herein provide a search engine that receives a search request from a sensor gateway, and provides search results in return. In various implementations, the search request includes a first set of measurements captured by a first sensor, a first measurement from the first set of measurements is outside a defined range. In various implementations, the search engine determines a first feature vector based on the first set of measurements, and identifies a second feature vector that indicates a second set of measurements within a degree of similarity to the first set of measurements. In some implementations, the second set of measurements are captured by a second sensor. In various implementations, the search engine determines a search result based on the second feature vector, and transmits the search result. In some implementations, the search result indicates one or more instructions executable by the first sensor.

公开(公告)号：US20230093130A1

公开(公告)日：2023-03-23

申请号：US17479297

申请日：2021-09-20

Applicant: Cisco Technology, Inc.

Inventor： Enzo Fenoglio ,  David John Zacks ,  Zizhen Gao ,  Carlos M. Pignataro ,  Dmitry Goloubev

IPC: H04L12/24 ,  H04L12/26 ,  G06K9/62

Abstract: A method, computer system, and computer program product are provided for detecting drift in predictive models for network devices and traffic. A plurality of streams of time-series telemetry data are obtained, the time-series telemetry data generated by network devices of a data network. The plurality of streams are analyzed to identify a subset of streams, wherein each stream of the subset of streams includes telemetry data that is substantially empirically distributed. The subset of streams of time-series data are analyzed to identify a change point. In response to identifying the change point, additional time-series data is obtained from one or more streams of the plurality of streams of time-series telemetry data. A predictive model is trained using the additional time-series data to update the predictive model and provide a trained predictive model.

公开(公告)号：US20210279619A1

公开(公告)日：2021-09-09

申请号：US16811806

申请日：2020-03-06

Applicant: Cisco Technology, Inc.

Inventor： Hugo Latapie ,  Enzo Fenoglio ,  Carlos M. Pignataro ,  Nagendra Kumar Nainar ,  David Delano Ward

IPC: G06N5/04 ,  G06F16/27

Abstract: In one embodiment, a first deep fusion reasoning engine (DFRE) agent in a network receives first sensor data from a first set of one or more sensors in the network. The first DFRE agent translates the first sensor data into symbolic data. The first DFRE agent applies, using a symbolic knowledge base maintained by the first DFRE agent, symbolic reasoning to the symbolic data to make an inference regarding the first sensor data. The first DFRE agent updates, based on the inference regarding the first sensor data, the knowledge base. The first DFRE agent propagates the inference to one or more other DFRE agents in the network.

公开(公告)号：US20210192768A1

公开(公告)日：2021-06-24

申请号：US16724751

申请日：2019-12-23

Applicant: Cisco Technology, Inc.

Inventor： Huy Phuong Tran ,  Xu Zhang ,  Santosh Ghanshyam Pandey ,  Hugo Latapie ,  Abhishek Mukherji ,  Enzo Fenoglio

IPC: G06T7/70 ,  G06K9/46 ,  H04W4/33 ,  G01S5/02

Abstract: In one embodiment, a service obtains spatial information regarding a physical area. The service estimates locations of a device within the physical area over time, based on wireless signals sent by the device. The service generates a set of images based on the spatial information regarding the physical area and on the estimated locations of the device within the physical area over time. The service updates an estimated location of the device by inputting the generated set of images to a machine learning model trained to minimize a location estimation error.

公开(公告)号：US11030755B2

公开(公告)日：2021-06-08

申请号：US16743522

申请日：2020-01-15

Applicant: Cisco Technology, Inc.

Inventor： Hugo Mike Latapie ,  Franck Bachet ,  Enzo Fenoglio ,  Sawsen Rezig ,  Carlos M. Pignataro ,  Guillaume Sauvage De Saint Marc

IPC: G06K9/00 ,  G06T7/292 ,  G06T7/254 ,  G06T7/194

Abstract: Systems, methods, and computer-readable for multi-spatial scale object detection include generating one or more object trackers for tracking at least one object detected from on one or more images. One or more blobs are generated for the at least one object based on tracking motion associated with the at least one object. One or more tracklets are generated for the at least one object based on associating the one or more object trackers and the one or more blobs, the one or more tracklets including one or more scales of object tracking data for the at least one object. One or more uncertainty metrics are generated using the one or more object trackers and an embedding of the one or more tracklets. A training module for detecting and tracking the at least one object using the embedding and the one or more uncertainty metrics is generated using deep learning techniques.

公开(公告)号：US10977574B2

公开(公告)日：2021-04-13

申请号：US15432385

申请日：2017-02-14

Applicant: Cisco Technology, Inc.

Inventor： Dmitry Goloubew ,  Gonzalo Salgueiro ,  Enzo Fenoglio ,  Hugo Latapie ,  Andre Surcouf

IPC: H04L12/825 ,  H04L12/24 ,  G06N99/00 ,  G06N20/00 ,  H04L12/26 ,  G06N3/04 ,  G06N7/00 ,  G06N3/08 ,  H04L12/707 ,  H04L12/803

Abstract: In one embodiment, a device in a network receives control plane packet data indicative of control plane packets for a control plane in the network. The device models the control plane using a machine learning model based on the control plane packet data. The device predicts an instability in the control plane using the machine learning model. The device causes performance of a mitigation action based on the predicted instability in the control plane.

公开(公告)号：US10965516B2

公开(公告)日：2021-03-30

申请号：US16429177

申请日：2019-06-03

Applicant: Cisco Technology, Inc.

Inventor： Enzo Fenoglio ,  Hugo Latapie ,  David Delano Ward ,  Sawsen Rezig ,  Raphaël Wouters ,  Didier Colens ,  Donald Mark Allen ,  Dmitri Goloubev

IPC: H04L12/24 ,  G06N20/00 ,  G06N5/04 ,  H04L12/26

Abstract: In one embodiment, a service that monitors a network detects a plurality of anomalies in the network. The service uses data regarding the detected anomalies as input to one or more machine learning models. The service maps, using a conceptual space, outputs of the one or more machine learning models to symbols. The service applies a symbolic reasoning engine to the symbols, to rank the anomalies. The service sends an alert for a particular one of the detected anomalies to a user interface, based on its corresponding rank.

公开(公告)号：US10942975B2

公开(公告)日：2021-03-09

申请号：US15160588

申请日：2016-05-20

Applicant: Cisco Technology, Inc.

Inventor： Joseph T. Friel ,  Hugo Mike Latapie ,  Andre Jean-Marie Surcouf ,  Enzo Fenoglio ,  Pete Rai

IPC: G06F16/951

Abstract: Various implementations disclosed herein provide a search engine that receives a search request from a sensor gateway, and provides search results in return. In various implementations, the search request includes a first set of measurements captured by a first sensor, a first measurement from the first set of measurements is outside a defined range. In various implementations, the search engine determines a first feature vector based on the first set of measurements, and identifies a second feature vector that indicates a second set of measurements within a degree of similarity to the first set of measurements. In some implementations, the second set of measurements are captured by a second sensor. In various implementations, the search engine determines a search result based on the second feature vector, and transmits the search result. In some implementations, the search result indicates one or more instructions executable by the first sensor.

公开(公告)号：US10783436B2

公开(公告)日：2020-09-22

申请号：US15374599

申请日：2016-12-09

Applicant: Cisco Technology, Inc.

Inventor： Joseph T. Friel ,  Andre Surcouf ,  Hugo Mike Latapie ,  Enzo Fenoglio ,  Pascal Thubert

IPC: G06N3/08 ,  G06N3/04 ,  G06N3/02 ,  G06F9/46

Abstract: In one embodiment, a method includes training a deep neural network using a first set of network characteristics corresponding to a first time and a second set of network characteristics corresponding to a second time, generating, using the deep neural network, a predictive set of network characteristics corresponding to a future time, and assigning a task of a distributed application to a processing unit based on the predictive set of network characteristics.