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61.发明申请公开(公告)号：US20210279602A1
公开(公告)日：2021-09-09
申请号：US16811823
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: G06N5/02
Abstract: In one embodiment, a deep fusion reasoning engine receives network telemetry data collected from a network. The deep fusion reasoning engine learns resource utilizations for different heuristic packages that can be used in the network to evaluate operation of the network. The deep fusion reasoning engine selects one of the heuristic packages based on the resource utilizations learned for the different heuristic packages. The selected heuristic package comprises a subservice and a set of rules to be evaluated. The deep fusion reasoning engine deploys the selected heuristic package for execution by a device in the network to evaluate operation of the network using the set of rules.
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公开(公告)号：US11108678B2
公开(公告)日：2021-08-31
申请号：US15845291
申请日：2017-12-18
Applicant: Cisco Technology, Inc.
Inventor： Pascal Thubert , Enzo Fenoglio , Jean-Philippe Vasseur , Hugo Latapie
IPC: G06F15/173 , H04L12/751 , H04L12/725 , H04L12/24 , H04L12/851 , H04L12/707
Abstract: In one embodiment, a controller in a network trains a deep reinforcement learning-based agent to predict traffic flows in the network. The controller determines one or more resource requirements for the predicted traffic flows. The controller assigns, using the deep reinforcement learning-based agent, paths in the network to the flows based on the determined one or more resource requirements, to avoid fragmentation of a flow during transmission of the flow through the network. The controller sends, to nodes in the network, assignment instructions that cause the flows to traverse the network via their assigned paths.
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63.发明申请公开(公告)号：US20210152440A1
公开(公告)日：2021-05-20
申请号：US17130804
申请日：2020-12-22
Applicant: Cisco Technology, Inc.
Inventor： Enzo Fenoglio , Hugo M. Latapie , Kenneth Gray , Sawsen Rezig , David Delano Ward
Abstract: In one embodiment, a network quality assessment service that monitors a network obtains multimodal data indicative of a plurality of measurements from the network and subjective perceptions of the network by users of the network. The network quality assessment service uses the obtained multimodal data as input to one or more neural network-based models. The network quality assessment service maps, using a conceptual space, outputs of the one or more neural network-based models to symbols. The network quality assessment service applies a symbolic reasoning engine to the symbols, to generate a conclusion regarding the monitored network. The network quality assessment service provides an indication of the conclusion to a user interface.
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公开(公告)号：US11005965B2
公开(公告)日：2021-05-11
申请号：US16666518
申请日：2019-10-29
Applicant: Cisco Technology, Inc.
Inventor： Hugo Latapie , Enzo Fenoglio , Plamen Nedeltchev , Manikandan Kesavan , Joseph Friel
Abstract: In one embodiment, a device in a network monitors a plurality of traffic flows in the network. The device extracts a plurality of features from the monitored plurality of traffic flows. The device generates a context model by using deep learning and reinforcement learning on the plurality of features extracted from the monitored traffic flows. The device applies the context model to a particular traffic flow associated with a client, to determine a context for the particular traffic flow. The device personalizes data sent to the client from a remote source based on the determined context.
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公开(公告)号：US10812523B2
公开(公告)日：2020-10-20
申请号：US15896182
申请日：2018-02-14
Applicant: Cisco Technology, Inc.
Inventor： Hugo Latapie , Enzo Fenoglio , Pascal Thubert , Jean-Philippe Vasseur
Abstract: In one embodiment, a device maintains a journal of uncommitted changes to a file system of the device in a layer that is hot-swappable with a writable container layer. The device augments the journal with metadata regarding a particular uncommitted change to the file system of the device. The device applies, within a sandbox environment of the device, a machine learning-based anomaly detector to the particular uncommitted change to the file system and the metadata regarding the change, to determine whether the particular uncommitted change to the file system is indicative of a destruction of service attack on the device. The device causes performance of a mitigation action when the machine learning-based anomaly detector determines that the particular uncommitted change to the file system is indicative of a destruction of service attack on the device.
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Patent Agency Ranking
公开(公告)号：US20200077049A1
公开(公告)日：2020-03-05
申请号：US16678729
申请日：2019-11-08
Applicant: Cisco Technology, Inc.
Inventor： Paul Bright-Thomas , Nathan Buckles , Keith Griffin , Eric Chen , Manikandan Kesavan , Plamen Nedeltchev , Hugo Mike Latapie , Enzo Fenoglio
Abstract: Systems and methods are disclosed for anticipating a video switch to accommodate a new speaker in a video conference comprising a real time video stream captured by a camera local to a first videoconference endpoint is analyzed according to at least one speaker anticipation model. The speaker anticipation model predicts that a new speaker is about to speak. Video of the anticipated new speaker is sent to the conferencing server in response to a request for the video on the anticipated new speaker from the conferencing server. Video of the anticipated new speaker is distributed to at least a second videoconference endpoint.
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67.发明申请公开(公告)号：US20200022016A1
公开(公告)日：2020-01-16
申请号：US16365096
申请日：2019-03-26
Applicant: Cisco Technology, Inc.
Inventor： Enzo Fenoglio , Hugo M. Latapie , Kenneth Gray , Sawsen Rezig , David Delano Ward
Abstract: In one embodiment, a network quality assessment service that monitors a network obtains multimodal data indicative of a plurality of measurements from the network and subjective perceptions of the network by users of the network. The network quality assessment service uses the obtained multimodal data as input to one or more neural network-based models. The network quality assessment service maps, using a conceptual space, outputs of the one or more neural network-based models to symbols. The network quality assessment service applies a symbolic reasoning engine to the symbols, to generate a conclusion regarding the monitored network. The network quality assessment service provides an indication of the conclusion to a user interface.
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公开(公告)号：US10509969B2
公开(公告)日：2019-12-17
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
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.
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公开(公告)号：US20190297004A1
公开(公告)日：2019-09-26
申请号：US15927014
申请日：2018-03-20
Applicant: Cisco Technology, Inc.
Inventor： Enzo Fenoglio , Hugo Latapie , Pascal Thubert
Abstract: In one embodiment, a processor receives observed node characteristics of a node in a network. The node characteristics include a link cost metric for a network link associated with the node. The processor uses a Bayesian learning model to estimate a virtual link cost metric based on the observed node characteristics. The model uses statistics regarding the observed link cost metric as background belief measures. The processor forms a routing path in the network that includes the network link in part based on an objective function that uses the virtual link cost metric as a parameter.
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公开(公告)号：US20190245882A1
公开(公告)日：2019-08-08
申请号：US15891749
申请日：2018-02-08
Applicant: Cisco Technology, Inc.
Inventor： Manikandan Kesavan , Plamen Nedeltchev , Hugo Latapie , Enzo Fenoglio
Abstract: In one embodiment, a security device maintains a plurality of security enclaves for a computer network, each associated with a given level of security policies. After detecting a given device joining the computer network, the security device places the given device in a strictest security enclave of the plurality of security enclaves in response to joining the computer network. The security device then subjects the given device to joint adversarial training, where a control agent representing behavior of the given device is trained against an inciting agent, and where the inciting agent attempts to force the control agent to misbehave by applying destabilizing policies. Accordingly, the security device may determine control agent behavior during the joint adversarial training, and promotes the given device to a less strict security enclave of the plurality of enclaves in response to the control agent being robust against the attempts by the inciting agent.
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