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：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：US10439947B2

公开(公告)日：2019-10-08

申请号：US15354759

申请日：2016-11-17

Applicant: CISCO TECHNOLOGY, INC.

Inventor： Joseph Friel ,  Hugo Latapie ,  Andre Surcouf ,  Enzo Fenoglio ,  Thierry Gruszka

IPC: H04L12/835 ,  H04L12/861 ,  H04L12/875 ,  H04N21/442 ,  H04N21/658 ,  H04N21/845

Abstract: According to one aspect, a method includes identifying at least a first chunk to be obtained, the at least first chunk including at least a first packet, and determining a deadline for the first chunk, the deadline being indicative of an amount of time before the first chunk is needed. The method also includes determining whether the deadline for the first chunk is relatively long, and de-prioritizing the first chunk with respect to obtaining the first chunk for queueing in a buffer when it is determined that the deadline for the first chunk is relatively long. Finally, the method includes obtaining the first chunk for queueing in the buffer, wherein obtaining the first chunk for queueing in the buffer includes obtaining the first chunk after obtaining a second chunk for queueing in the buffer, the second chunk having a shorter deadline than the deadline for the first chunk.

公开(公告)号：US20190080178A1

公开(公告)日：2019-03-14

申请号：US15702061

申请日：2017-09-12

Applicant: Cisco Technology, Inc.

Inventor： Victor Tsekay To ,  Feng Jiang ,  Nham Van Le ,  Hugo Latapie ,  Enzo Fenoglio

IPC: G06K9/00

CPC classification number: G06K9/00778 ,  G06K3/02 ,  G06K9/00751 ,  G06K9/00771 ,  G06K9/3233

Abstract: In one embodiment, a device identifies, from image data captured by one or more cameras of a physical location, a focal point of interest and people located within the physical location. The device forms a set of nodes whereby a given node represents one or more of the identified people located within the physical location. The device represents a person queue as an ordered list of nodes from the set of nodes and adds a particular one of the set of nodes to the list based on the particular node being within a predefined distance to the focal point of interest. The device adds one or more nodes to the list based on the added node being within an angle and distance range trailing a forward direction associated with at least one node in the list. The device provides an indication of the person queue to an interface.

公开(公告)号：US10178131B2

公开(公告)日：2019-01-08

申请号：US15412386

申请日：2017-01-23

Applicant: Cisco Technology, Inc.

Inventor： Plamen Nedeltchev ,  Hugo Latapie ,  Enzo Fenoglio ,  Manikandan Kesavan ,  Deon J. Chatterton

IPC: G06F15/18 ,  G05B13/02 ,  G05B19/42 ,  H04L29/06 ,  G06N99/00 ,  H04L29/08 ,  G06F17/16

Abstract: In one embodiment, a device in a network identifies a set of network entities. The device determines characteristics of the network entities. The device assigns each of the set of network entities to one or more hyperedges of a hypergraph based on the characteristics. The device applies a security policy to a particular one of the network entities based on the one or more hyperedges of the hypergraph to which the particular network entity is assigned.

公开(公告)号：US20180212996A1

公开(公告)日：2018-07-26

申请号：US15412386

申请日：2017-01-23

Applicant: Cisco Technology, Inc.

Inventor： Plamen Nedeltchev ,  Hugo Latapie ,  Enzo Fenoglio ,  Manikandan Kesavan ,  Deon J. Chatterton

IPC: H04L29/06 ,  G06N99/00 ,  H04L29/08 ,  G06F17/16

CPC classification number: H04L63/20 ,  G06F17/16 ,  G06N99/005 ,  H04L67/10 ,  H04L67/12 ,  H04L67/22

Abstract: In one embodiment, a device in a network identifies a set of network entities. The device determines characteristics of the network entities. The device assigns each of the set of network entities to one or more hyperedges of a hypergraph based on the characteristics. The device applies a security policy to a particular one of the network entities based on the one or more hyperedges of the hypergraph to which the particular network entity is assigned.

公开(公告)号：US09998805B2

公开(公告)日：2018-06-12

申请号：US15660882

申请日：2017-07-26

Applicant: Cisco Technology, Inc.

Inventor： Joseph Friel ,  Hugo Latapie ,  Andre Surcouf ,  Enzo Fenoglio

IPC: G08C17/00 ,  H04Q9/00

CPC classification number: H04Q9/00 ,  G08C25/00

Abstract: Disclosed are systems, methods, and computer-readable storage media for adaptive telemetry based on in-network cross domain intelligence. A telemetry server can receive at least a first telemetry data stream and a second telemetry data stream. The first telemetry data stream can provide data collected from a first data source and the second telemetry data stream can provide data collected from a second data source. The telemetry server can determine correlations between the first telemetry data stream and the second telemetry data stream that indicate redundancies between data included in the first telemetry data stream and the second telemetry data stream, and then adjust, based on the correlations between the first telemetry data stream and the second telemetry data stream, data collection of the second telemetry data stream to reduce redundant data included in the first telemetry data stream and the second telemetry data stream.

公开(公告)号：US20240212348A1

公开(公告)日：2024-06-27

申请号：US18086886

申请日：2022-12-22

Applicant: Cisco Technology, Inc.

Inventor： Hugo Latapie ,  Gaowen Liu ,  Ozkan Kilic ,  Adam James Lawrence ,  Ramana Rao V. R. Kompella

IPC: G06V20/40 ,  G06F40/30 ,  G06V10/774 ,  G06V10/82 ,  G06V20/52 ,  G06V20/70

CPC classification number: G06V20/41 ,  G06F40/30 ,  G06V10/774 ,  G06V10/82 ,  G06V20/52 ,  G06V20/70

Abstract: In one embodiment, a student agent identifies a topic of interest. The student agent issues a set of one or more questions to a teacher agent regarding the topic of interest. The student agent receives, from the teacher agent, answer data in response to the set of one or more questions. The student agent uses the answer data to generate a neuro-symbolic metamodel that comprises a semantic reasoner and a sub-symbolic layer.