9 results about "Hybrid protocol" patented technology

This invention provides a cross-institutional collaborative data computation method based on secure multi-party computation, belonging to the field of data security and privacy protection technology. The method includes: each participating institution registering its identity and data metadata; the task initiator publishing a computation task description; performing operator-level decomposition on the objective function to obtain efficiency, overhead, and security strength indicators for each candidate protocol; using the security strength indicators to correct the efficiency and overhead indicators, weighted summing to obtain a comprehensive score, selecting the optimal protocol accordingly, and generating a hybrid protocol graph and execution plan; performing collaborative computation in stages, with protocol conversion at transition points; finally, the share is sent to the settlement node, aggregated and reconstructed to obtain plaintext results, and generating verifiable proofs. This invention achieves dynamic adaptation of protocols and tasks, optimization of security and performance balance, verifiable results, and dynamic adaptive scheduling.

The application discloses an Alzheimer's disease patient intelligent assistance method and system based on multi-modal perception and a double-layer AI architecture. The method comprises the following steps: a wearable terminal collects multi-modal input data and sends the multi-modal input data to an edge computing server; the edge computing server serves as a first computing node, generates a restricted structured service call instruction through a lightweight large language model, and executes a first service; a user question and an execution result are sent to a cloud-side workflow for checking; if the first execution is insufficient to answer the question, the cloud-side workflow outputs a hybrid protocol response containing a natural language carrier and a machine-readable correction load; the edge node extracts the correction load and reuses a frozen multi-modal data segment to perform compensation; and the compensation result is submitted to the cloud side to generate a final reply and broadcast the final reply. Through the double-layer architecture of edge computing and cloud-side workflow cooperation, and in combination with an automatic error correction closed loop mechanism, the application realizes low-delay and high-reliable Alzheimer's disease patient intelligent assistance.

The invention discloses an industrial hybrid protocol classification method based on a data track. The method comprises the following steps: 1, preprocessing original network traffic; step 2, constructing a data track matrix with a fixed length, realizing unified representation of variable-length sessions, and providing unified input for the model; 3, taking the data track as input, and adopting a two-stage cascade judgment mechanism: in the first stage, classifying known protocols and outputting category probability and confidence, and in the second stage, further executing unknown protocol detection and atypical known protocol identification on low-confidence or abnormal session samples to obtain a judgment result; and step 4, realizing automatic identification and result summarization of the industrial mixed flow. According to the method, dynamic evolution of a complete communication session is mapped into a multivariate time sequence to reserve a staged interaction mode and rhythm, and meanwhile, content-independent statistical evolution characteristics are reserved, so that the representability is enhanced.

The application discloses a privacy protection inference method for a binary neural network model under outsourcing computation and belongs to the field of neural network inference under outsourcing computation environment. Firstly, an inference system composed of a model owner, an edge server group and a user group is constructed, the model owner performs RSS, encrypts and distributes BNN model parameters to three edge servers, runs a symbolic function, generates an FSS function key and distributes the FSS function key to each edge server; meanwhile, random numbers are generated to mask multiplication operation and send data. Then, aiming at the BNN model, an activation function is designed based on the FSS and RSS hybrid protocol to optimize nonlinear operation, and a convolution layer and a full connection layer are constructed based on the RSS to provide efficient linear operation. Finally, the user adds the query result of the BNN model locally by using the additive homomorphism property of secret sharing to reconstruct a plaintext inference result. The application completes the lightweight construction of each module in the BNN, improves inference efficiency and realizes the protection of inference data privacy under a limited computing resource environment.

The application discloses a switch TRDP protocol intelligent differentiated forwarding method and device, equipment and storage medium, and relates to the technical field of network communication, which comprises the following steps: analyzing data packets of each port of a switch to obtain target characteristic fields; identifying the data packets based on a decision tree model and the target characteristic fields to obtain an identification result; and distributing the data packets to corresponding priority forwarding queues according to the identification result. The technical problem of how to realize accurate identification and differentiated forwarding scheduling of TRDR data packets without relying on fixed port configuration in an industrial switching network coexisting with mixed protocols is solved, deep analysis and intelligent identification based on protocol characteristic fields of data packets are realized, and it is ensured that TRDR data packets can still be accurately distinguished and preferentially forwarded in a high-load mixed traffic environment.

The invention provides a multi-source industrial equipment data synchronous transmission system and method based on a hybrid protocol. The system specifically comprises a production equipment end sending module; a server receiving module; a mapping establishment module; a data analysis module; a data aggregation module; a TCP issuing module; the client receiving and deserialization module is operated on a Unity client; and the data mapping module is used for mapping the received data to the corresponding virtual equipment model according to the equipment identification code. According to the invention, through a UDP / TCP hybrid protocol mechanism, real-time transmission of high-frequency data is ensured, and reliable delivery of key data is also ensured; through an innovative device identification and dynamic mapping method, rapid source identification and data mapping during concurrent access of multiple devices are realized; through a unified data processing framework, real-time data synchronization and visual display of large-scale industrial equipment are supported, and the limitation of an existing single protocol scheme is effectively overcome.

The application relates to a chain autonomous right protection method and device based on a smart contract and a dynamic data quantification model, and the method comprises the following steps: generating a transaction load and deploying the transaction load into a pre-defined data autonomous right management smart contract instance; a data demander submits a data use request to the data autonomous right management smart contract through a chain interface; the data autonomous right management smart contract receives the data use request, and matches and verifies the data use request with data authorization strategy metadata corresponding to a data asset identifier registered on the chain; a terminal user responds to a data transmission request, and performs secure calculation on local encrypted data by using a partial decryption key and a multi-party calculation hybrid protocol; and a contribution quantification algorithm pre-defined in the data autonomous right management smart contract is called to calculate a data contribution quantification value of each terminal user. The homomorphic encryption and the secure multi-party calculation are hybridized, the leakage path of data in the calculation link is cut off, and the enthusiasm of users in sharing high-quality data is stimulated.

This invention relates to the field of chip technology, and more particularly to a hybrid protocol chip bus delay adjustment method, electronic device, and medium. The method includes step S1: constructing the nth hybrid chip bus structure B of the chip design. n Step S2: At the initiating terminal S of the m-th hybrid chip bus that requires delay adjustment in the chip design and is connected to the network, m Insert delay information T m Step S3, Analysis S m Corresponding B n and T m Based on C i n Get the corresponding Q j m Based on C i n The corresponding Q j m F i n Generate H i n The corresponding delay adjustment unit R i n Based on P m and C i n Corresponding G i n Set R i n Corresponding gated clock; Step S4, based on all C i n The corresponding R i n For S m Generate B n The corresponding delay adjustment module W n This invention enables delay adjustment of the hybrid protocol chip bus.

The disclosure provides for hybrid protocols and barcoding schemes that allow for sequencing of targeted polynucleotides in multiple types of sequencing platforms, and applications thereof, including