公开(公告)号：US20210400460A1

公开(公告)日：2021-12-23

申请号：US16905861

申请日：2020-06-18

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： JIANPO HAN ,  Liao Xu

IPC: H04W8/00 ,  H04W24/08 ,  H04L12/26

Abstract: Systems and methods are provided for detecting the presence of a hidden camera on a network. When video is encoded and transmitted over/across a network, the data packet carrying the video tend to exhibit certain characteristics or features specific to video traffic from a hidden camera. A machine learning model for detecting the presence of a hidden camera can be trained based on these characteristics and features. Once trained, the machine learning model can be operationalized on an access point that can analyze real-time network traffic to determine whether a hidden camera(s) is operating on the network.

公开(公告)号：US11902886B2

公开(公告)日：2024-02-13

申请号：US17528308

申请日：2021-11-17

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Liao Xu ,  Jianpo Han ,  Zhenlei Wang

IPC: H04W48/16 ,  H04W88/08 ,  H04W84/12

CPC classification number: H04W48/16 ,  H04W88/08 ,  H04W84/12

Abstract: Examples of techniques for optimizing Neighbour Report (NR) are disclosed. In an example, a first virtual access point (VAP) operating in a 2.4 Giga Hertz (GHz) or 5 GHz band may determine a first Service Set Identifier (SSID) of the first VAP operating in a 2.4 GHz or 5 GHz band. The first VAP may identify a set of co-located VAPs operating in a 6 GHz band. The first VAP may filter the set of co-located VAPs to obtain a neighbour list comprising a second VAP, from the set, having a second SSID identical to the first SSID. Using the neighbour list, the first VAP may generate a Neighbour Report.

公开(公告)号：US20250039785A1

公开(公告)日：2025-01-30

申请号：US18360043

申请日：2023-07-27

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Jianpo Han ,  Jiaqi Li ,  Liao Xu

IPC: H04W52/02

Abstract: An example method for managing wake schedules of client devices is presented. A wireless networking device determines a value of a data traffic characteristic of a client device based on monitoring of data traffic associated with the client device. If it is determined that the client device is capable of implementing the TWT mechanism, the wireless networking device may set a wake schedule for the client device based on the value of the data traffic characteristic. Once the wake schedule is set, the wireless networking device communicates with the client device as per the wake schedule. In some examples, the wireless networking device may set custom wake schedules for different client devices when the client devices have different behaviors for the same data traffic characteristic. Further, in certain examples, the wireless networking device may even set custom wake schedules for different activity periods for the same client device.

公开(公告)号：US12052794B2

公开(公告)日：2024-07-30

申请号：US16905861

申请日：2020-06-18

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Jianpo Han ,  Liao Xu

IPC: H04W8/00 ,  H04L43/0888 ,  H04W24/08

CPC classification number: H04W8/005 ,  H04L43/0888 ,  H04W24/08

Abstract: Systems and methods are provided for detecting the presence of a hidden camera on a network. When video is encoded and transmitted over/across a network, the data packet carrying the video tend to exhibit certain characteristics or features specific to video traffic from a hidden camera. A machine learning model for detecting the presence of a hidden camera can be trained based on these characteristics and features. Once trained, the machine learning model can be operationalized on an access point that can analyze real-time network traffic to determine whether a hidden camera(s) is operating on the network.