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公开(公告)号:US12200138B2
公开(公告)日:2025-01-14
申请号:US17832410
申请日:2022-06-03
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Lifeng Liu , Jian Li
Abstract: A node in a distributed network computes a hash of content for a service received in a data packet. The node verifies the data packet by comparing the hash of the content of a service received from a neighboring node to a hash of the content computed by the node. An amount of content of the service having a same identification is accumulated in a trusted execution environment (TEE) of the node, and a signature based on code stored in a TEE of the node is generated. The node then sends the data packet to the next neighboring node, where the service-related information includes the service ID, a hash of the service content and the signature. The service records with the accumulated amount of service content, accumulated hash values, and nodes' signatures are sent to the validation nodes to reach consensus for the service provided.
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2.
公开(公告)号:US20210341886A1
公开(公告)日:2021-11-04
申请号:US17319442
申请日:2021-05-13
Applicant: Huawei Technologies Co., Ltd.
Inventor: Lifeng Liu , Yingxuan Zhu , Jun Zhang , Xiaofian Yin , Jian Li , Yongxiang Tao , Dayao Liang
IPC: G05B13/02 , G06F16/2457 , B60W50/06
Abstract: A computer implemented method for self-learning of a control system. The method includes creating an initial knowledge base. The method learns first principles using the knowledge base. The method creates initial control commands derived from the knowledge base. The method generates constraints for the control commands. The method performs constrained reinforcement learning by executing the control commands with the constraints and observing feedback to improve the control commands. The method enriches the knowledge base based on the feedback.
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公开(公告)号:US20220294637A1
公开(公告)日:2022-09-15
申请号:US17832410
申请日:2022-06-03
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Lifeng Liu , Jian Li
Abstract: A node in a distributed network computes a hash of content for a service received in a data packet. The node verifies the data packet by comparing the hash of the content of a service received from a neighboring node to a hash of the content computed by the node. An amount of content of the service having a same identification is accumulated in a trusted execution environment (TEE) of the node, and a signature based on code stored in a TEE of the node is generated. The node then sends the data packet to the next neighboring node, where the service-related information includes the service ID, a hash of the service content and the signature. The service records with the accumulated amount of service content, accumulated hash values, and nodes' signatures are sent to the validation nodes to reach consensus for the service provided.
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4.
公开(公告)号:US20230205928A1
公开(公告)日:2023-06-29
申请号:US18177012
申请日:2023-03-01
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Lifeng Liu , Jian Li
CPC classification number: G06F21/6245 , G16H40/67 , G16H50/80
Abstract: A data management system for collecting data of users from sensors at an event. An event-specific token corresponding to the event attended by the users is generated, where the event-specific token includes event-specific signatures about the users attending the event, and the signature of the event venue or facility. The public data is sent to public storage as an aggregation of the collected data and tagged with the event-specific token. The public data is statistically analyzed to track interactions and assess risks of the user's potential infection of a communicable disease based on anomalous activity detected at the event, or based on the notifications from the event attendees, which are matched and validated anonymously using the event-specific tokens. Based on a result of the statistical analysis, an advisory alert is sent to the users to warn them of a level of risk of harm based on attendance of the event.
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公开(公告)号:US20130315242A1
公开(公告)日:2013-11-28
申请号:US13745405
申请日:2013-01-18
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Yuchen Wang , Lifeng Liu , Yujia Weng
IPC: H04L12/56
CPC classification number: H04L45/74 , H04L12/4641
Abstract: The present invention provides a network communication method and device. The method includes: receiving, by a VNC on a physical host, a network communication packet sent by a first virtual machine of which a host machine is the physical host and which has a mapping relationship with the VNC, where a source address carried in the network communication packet is an address of the first virtual machine, a destination address carried in the network communication packet is an address of a second virtual machine or an address of another physical host; selecting, by the physical host, a VPN network corresponding to the VNC on the physical host according to preset correspondence between the VPN network and the VNC; and sending, by the physical host, the network communication packet through the selected VPN network. The present invention lowers the restriction on setting an IP address of a virtual machine in a VPN.
Abstract translation: 本发明提供一种网络通信方法和装置。 该方法包括:由物理主机上的VNC接收由主机是物理主机的第一虚拟机发送并与VNC具有映射关系的网络通信分组,其中在 网络通信分组是第一虚拟机的地址,网络通信分组中承载的目的地地址是第二虚拟机的地址或其他物理主机的地址; 物理主机根据VPN网络和VNC之间的预设对应关系,选择物理主机上对应VNC的VPN网络; 并由物理主机通过所选择的VPN网络发送网络通信包。 本发明降低了在VPN中设置虚拟机的IP地址的限制。
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6.
公开(公告)号:US12189349B2
公开(公告)日:2025-01-07
申请号:US17319442
申请日:2021-05-13
Applicant: Huawei Technologies Co., Ltd.
Inventor: Lifeng Liu , Yingxuan Zhu , Jun Zhang , Xiaotian Yin , Jian Li , Yongxiang Tao , Dayao Liang
IPC: G05B13/02 , B60W50/06 , B60W60/00 , G06F16/2457 , B60W50/00
Abstract: A computer implemented method for self-learning of a control system. The method includes creating an initial knowledge base. The method learns first principles using the knowledge base. The method creates initial control commands derived from the knowledge base. The method generates constraints for the control commands. The method performs constrained reinforcement learning by executing the control commands with the constraints and observing feedback to improve the control commands. The method enriches the knowledge base based on the feedback.
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7.
公开(公告)号:US20230052903A1
公开(公告)日:2023-02-16
申请号:US17947937
申请日:2022-09-19
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Sahisnu Mazumder , Lifeng Liu , Jian Li
Abstract: This disclosure relates to recommendations made to users based on learned behavior patterns. User behavior data is collected and grouped according labels. The grouped user behavior data is labeled and used to train a machine learning model based on features and tasks associated with the classification. User behavior is then predicted by applying the trained machine learning model to the collected user behavior data, and a task is recommended to the user.
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8.
公开(公告)号:US20220155732A9
公开(公告)日:2022-05-19
申请号:US17319442
申请日:2021-05-13
Applicant: Huawei Technologies Co., Ltd.
Inventor: Lifeng Liu , Yingxuan Zhu , Jun Zhang , Xiaotian Yin , Jian Li , Yongxiang Tao , Dayao Liang
IPC: G05B13/02 , G06F16/2457 , B60W50/06
Abstract: A computer implemented method for self-learning of a control system. The method includes creating an initial knowledge base. The method learns first principles using the knowledge base. The method creates initial control commands derived from the knowledge base. The method generates constraints for the control commands. The method performs constrained reinforcement learning by executing the control commands with the constraints and observing feedback to improve the control commands. The method enriches the knowledge base based on the feedback.
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