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公开(公告)号:US20240022480A1
公开(公告)日:2024-01-18
申请号:US18348315
申请日:2023-07-06
Applicant: ZHEJIANG LAB
Inventor: Jun ZHU , Tao ZOU , Lei XUE , Hanguang LUO , Qi XU
IPC: H04L41/12
CPC classification number: H04L41/12
Abstract: A network modal management system and a management method. The system comprises a polymorphic intelligent network integrated development environment and a polymorphic intelligent network distributed compilation and deployment environment; the polymorphic intelligent network integrated development environment further comprises a network modal deployment file packaging tool, which is used for packaging a network modal source code file and a corresponding configuration file into a network modal deployment file; the polymorphic intelligent network distributed compilation and deployment environment comprises a polymorphic intelligent network modal package manager deployed on a controller server and a network node equipment network modal package manager deployed on a network node equipment.
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公开(公告)号:US20230020947A1
公开(公告)日:2023-01-19
申请号:US17876553
申请日:2022-07-29
Applicant: Zhejiang Lab
Inventor: Hanguang LUO , Tao ZOU , Shunbin LI , Qi XU , Huifeng ZHANG
Abstract: The present disclosure belongs to an identity authentication technology in network security field, and relates to a lightweight identity authentication method. The method utilizes lightweight operations of the physical unclonable function, Hash operation, XOR operation, etc. for bidirectional authentication between an authentication server and an Internet of Things resource-limited device, and particularly utilizes uniqueness of an integrated circuit (IC) physical microstructure created by the physical unclonable function in the resource-limited device in a manufacturing process to design an engineering-implementable information desynchronization recovery mechanism of two authentication parties by optimizing an interaction mode of input challenge and output response of the physical unclonable function, thereby solving the problem that the same lightweight identity authentication type solution cannot ensure forward security and resist desynchronization attack, further reducing resource cost for an identity authentication process, and effectively improving security and operation efficiency of identity authentication of the Internet of Things resource-limited device.
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3.
公开(公告)号:US20220345872A1
公开(公告)日:2022-10-27
申请号:US17727838
申请日:2022-04-25
Applicant: Zhejiang Lab
Inventor: Qi XU , Ruyun ZHANG , Tao ZOU , Hanguang LUO
Abstract: The present invention relates to the technical field of network communication, in particular to a method and system for controlling ID identifier network mobility based on a programmable switch. The system includes mobile terminal nodes, mobile access points, programmable switching nodes and control nodes, wherein the control nodes include local control nodes and a global control node, the mobile terminal nodes are connected and communicated with the mobile access points through wireless data links, the mobile access points are connected and communicated with the programmable switching nodes through wired data links, and the programmable switching nodes, the local control nodes and the global control node are connected and communicated in order through control links.
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公开(公告)号:US20250016070A1
公开(公告)日:2025-01-09
申请号:US18528054
申请日:2023-12-04
Applicant: ZHEJIANG LAB
Inventor: Hanguang LUO , Huifeng ZHANG , Geyang XIAO , Qi XU , Wanxin GAO , Jun ZHU , Tao ZOU , Ruyun ZHANG
IPC: H04L41/5019 , H04L41/5006
Abstract: A polymorphic network system and a polymorphic network operation method are provided. From top to bottom, the polymorphic network system sequentially includes: an application layer configured to provide network applications corresponding to network service requirements; a service layer configured to determine network capability requirements for implementing the network applications; a mode layer configured to provide corresponding network modes based on the network capability requirements; and an environment layer configured to provide network infrastructure that is capable of supporting operation of the network modes. The network infrastructure is configured to load and transmit messages corresponding to the network applications. The messages are capable of being generated, encapsulated, decapsulated, and routed and forwarded based on the network modes corresponding to the network applications.
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5.
公开(公告)号:US20240143403A1
公开(公告)日:2024-05-02
申请号:US18354601
申请日:2023-07-18
Applicant: ZHEJIANG LAB
Inventor: Huifeng ZHANG , Congqi SHEN , Tao ZOU , Jun ZHU , Ruyun ZHANG , Qi XU , Hanguang LUO , Xingchang GUO
CPC classification number: G06F9/5038 , G06N20/00
Abstract: A method, an apparatus and a medium for optimizing allocation of switching resources in the polymorphic network. The method selects the ASIC switching chip, FPGA and PPK software switching on the polymorphic network element based on machine learning, and specifically comprises the following steps: manually pre-configuring, formulating basic rules for polymorphic software and hardware co-processing; offline learning, designing training configuration in the offline learning stage to capture different switching resource usage variables, running experiments to generate the original data of a training classifier, and using the generated performance indices to train the model offline; and online reasoning, obtaining switching resource allocation advises, and updating modality codes according to the switching resource allocation advises.
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6.
公开(公告)号:US20230421500A1
公开(公告)日:2023-12-28
申请号:US18092939
申请日:2023-01-04
Applicant: ZHEJIANG LAB
Inventor: Congqi SHEN , Xingchang GUO , Hanguang LUO , Qi XU , Tao ZOU , Ruyun ZHANG
IPC: H04L45/7453 , H04L67/63 , H04N21/232
CPC classification number: H04L45/7453 , H04N21/232 , H04L67/63
Abstract: A content store-and-forward method, apparatus, an electronic apparatus and a storage medium, the method comprising the following steps: receiving an interest packet in a named data network; forwarding the interest packet to a storage node, so that the storage node looks up the corresponding content, and packages the content into a data packet containing the hash value of the name identifier and the corresponding content; receiving the data packet forwarded by the storage node; forwarding the data packet to an interest packet port, wherein the interest packet port is a port that has once received the name identifier corresponding to the content in the data packet; forwarding another data packet to the storage node, so that the storage node parses the hash value and the content of the name identifier in the another data packet, and stores the hash value of the name identifier and the corresponding content.
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公开(公告)号:US20240422057A1
公开(公告)日:2024-12-19
申请号:US18555805
申请日:2023-07-13
Applicant: ZHEJIANG LAB
Inventor: Peilei WANG , Ruyun ZHANG , Jun ZHU , Tao ZOU , Shunbin LI , Qi XU
IPC: H04L41/082 , H04L41/0894 , H04L67/1097
Abstract: A data storage system includes: a server, a client and a control end; the control end is configured to generate a configuration file, and send the configuration file to the client and the server; the client is configured to generate an encapsulation rule based on the configuration file, generate a storage request, perform encapsulation on the storage request to obtain a message packet, and send the message packet to the server; the server is configured to generate an extraction unit and an action unit based on the configuration file, analyze the message packet to obtain the target information, write the target information into each extraction unit, read action information and determine an action unit matching the action information as a target action unit, and execute the storage actions corresponding to the target action unit to store byte stream data of the target information.
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8.
公开(公告)号:US20240015079A1
公开(公告)日:2024-01-11
申请号:US18359862
申请日:2023-07-26
Applicant: ZHEJIANG LAB
Inventor: Congqi SHEN , Huifeng ZHANG , Shaofeng YAO , Qi XU , Ruyun ZHANG
Abstract: The present disclosure discloses a reinforcement learning agent training method, modal bandwidth resource scheduling method and apparatus. The reinforcement learning agent training method utilizes a reinforcement learning agent to continuously interact with a network environment in a polymorphic smart network to obtain the latest global network characteristics and output updated actions. By adjusting the bandwidth occupied by modals, a reward value is set to determine an optimization target for the agent, the scheduling of modals is realized, and the rational use of polymorphic smart network resources is guaranteed. The trained reinforcement learning agent is applied to the modal bandwidth resource scheduling method, and can adapt to networks with different characteristics, and thus can be used for intelligent management and control of polymorphic smart networks and has good adaptability and scheduling performance.
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