NETWORK MODAL MANAGEMENT SYSTEM AND MANAGEMENT METHOD

    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

    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.

    LIGHTWEIGHT IDENTITY AUTHENTICATION METHOD BASED ON PHYSICAL UNCLONABLE FUNCTION

    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

    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.

    METHOD AND SYSTEM FOR CONTROLLING ID IDENTIFIER NETWORK MOBILITY BASED ON PROGRAMMABLE SWITCH

    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

    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.

    POLYMORPHIC NETWORK SYSTEM AND POLYMORPHIC NETWORK OPERATION METHOD

    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

    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.

    METHOD, APPARATUS AND MEDIUM FOR OPTIMIZING ALLOCATION OF SWITCHING RESOURCES IN POLYMORPHIC NETWORK

    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

    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.

    METHOD AND DEVICE FOR STORING AND FORWARDING CONTENT, ELECTRONIC APPARATUS AND STORAGE MEDIUM USING THE SAME

    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

    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.

    DATA STORAGE SYSTEM AND METHOD, STORAGE MEDIUM, AND ELECTRONIC DEVICE

    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

    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.

    REINFORCEMENT LEARNING AGENT TRAINING METHOD, MODAL BANDWIDTH RESOURCE SCHEDULING METHOD AND APPARATUS

    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

    CPC classification number: H04L41/16 H04L41/40 G06N20/00

    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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