METHOD TO IDENTIFY VIDEO APPLICATIONS FROM ENCRYPTED OVER-THE-TOP (OTT) DATA

    公开(公告)号:US20220351084A1

    公开(公告)日:2022-11-03

    申请号:US17868465

    申请日:2022-07-19

    Abstract: Aspects of the subject disclosure may include, for example, a processing system that performs operations including collecting encrypted network traffic flow data from user interaction with an application, deriving a first set of traffic feature vectors from the encrypted network traffic flow data collected, training a machine learning algorithm on the first set of traffic feature vectors to classify each traffic feature vector in the first set of traffic feature vectors as associated with a type of the application or not associated with the type of the application, and classifying whether an encrypted network traffic flow as the type of the application by applying the machine learning algorithm to a traffic feature vector of the encrypted network traffic flow. Other embodiments are disclosed.

    ACTIVE NETWORK SUPPORT ON ADAPTIVE VIRTUAL REALITY VIDEO TRANSMISSION

    公开(公告)号:US20220321976A1

    公开(公告)日:2022-10-06

    申请号:US17846064

    申请日:2022-06-22

    Abstract: Aspects of the subject disclosure may include, for example, a method comprising: obtaining media content, such as video; receiving a request from a user and/or user equipment (UE) to view the media content; identifying a predicted field of view of the user; sending the predicted field of view to the equipment of the user at a normal priority; monitoring a line of sight (or actual field of view) of the user; determining a field of view error as a difference between the line of sight and the predicted field of view; and sending the field of view error to the equipment of the user at a higher priority. Other embodiments are disclosed.

    CLASSIFICATION OF ENCRYPTED INTERNET TRAFFIC WITH BINARY TRAFFIC VECTORS

    公开(公告)号:US20220150143A1

    公开(公告)日:2022-05-12

    申请号:US17096522

    申请日:2020-11-12

    Abstract: A processing system including at least one processor may generate a binary traffic vector from a traffic flow in a communication network. The binary traffic vector may comprise a plurality of elements, each associated with a respective time period and comprising one of: a first value or a second value. For each time period the traffic flow comprises a transfer of a data unit, a corresponding element comprises the first value, and for time period the traffic flow does not comprise a transfer of a data unit, a corresponding element comprises the second value. The processing system may then apply a traffic flow record comprising the binary traffic vector as an input to a deep learning classifier trained to classify traffic flow records into traffic categories, and determine a traffic category from an output of the deep learning classifier in accordance with the traffic flow record as the input.

    APPARATUS AND METHOD TO FACILITATE AN ITERATIVE, MACHINE LEARNING BASED TRAFFIC CLASSIFICATION

    公开(公告)号:US20220101721A1

    公开(公告)日:2022-03-31

    申请号:US17546106

    申请日:2021-12-09

    Abstract: Aspects of the subject disclosure may include, for example, applying a model to a first unlabeled traffic item to generate a classification of the first unlabeled traffic item as a first class of traffic items or a second class of traffic items, generating a first score that is representative of a first confidence of the classification, determining that the first score is greater than a first threshold, and responsive to determining that the first score is greater than the first threshold, refining the model in accordance with at least the classification, resulting in a modified model. Other embodiments are disclosed.

    OPTIMIZING DELAY-SENSITIVE NETWORK-BASED COMMUNICATIONS WITH LATENCY GUIDANCE

    公开(公告)号:US20210385005A1

    公开(公告)日:2021-12-09

    申请号:US17409730

    申请日:2021-08-23

    Abstract: Devices, computer-readable media, and methods for selecting a type of transmission for an immersive visual stream based upon a latency estimate. For instance, a processing system including at least one processor may obtain a latency estimate for an immersive visual stream, determine whether the latency estimate exceeds a latency threshold for selecting a type of transmission for the immersive visual stream, and select the type of transmission for the immersive visual stream from among a field of view restricted type of transmission and a field of view plus out of scene type of transmission based upon the determining. When the latency estimate is determined to not exceed the latency threshold, the field of view restricted type of transmission is selected. When the latency estimate is determined to exceed the latency threshold, the field of view plus out of scene type of transmission is selected.

    METHOD AND APPARATUS FOR DELIVERY OF MEDIA CONTENT

    公开(公告)号:US20210377583A1

    公开(公告)日:2021-12-02

    申请号:US17403049

    申请日:2021-08-16

    Abstract: Aspects of the subject disclosure may include, for example, a method, including identifying recommended video clips for a user of a communication device according to a video viewing profile for the user and video subject matter information associated with a plurality of video clips, identifying an edge cloud server for facilitating network access by the communication device at a location, determining a reduced activity period for a data path between a video content server and the edge cloud server by comparing activity information for the data path and an activity threshold, directing the video content server to store the recommended video clips at the edge cloud server during the reduced activity period, and providing a listing of the recommended video clips to an application, where the communication device receives a video clip of the recommended video clips from the edge cloud server responsive to a selection of the video clip via the application. Other embodiments are disclosed.

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