1684 results about "Secure transmission" patented technology

The invention relates to the technical field of medical terminal data secure transmission and real-time management and control, in particular to a bank medical intelligent terminal data secure transmission and real-time management and control system and method. The behavior analysis module is used for calculating threat indexes through federated learning, the strategy module is used for dynamically switching algorithms and isolating anomalies, and the audit module is used for block chain verification and zero knowledge verification to generate a report. According to the method, dynamic encryption and fragmentation cutting are driven through sensitivity grading labels, the accuracy of data protection is improved, a time sequence attack path is blocked based on cooperation of fragmentation time sequence reference and an encryption transmission protocol, and dual guarantee of decentralized auditing and tampering positioning is realized by combining block chain hash identification and zero-knowledge proof verification, so that the security of data protection is improved. And full-link safe transmission and real-time management and control requirements of medical terminal data are met.

The invention discloses a self-adaptive communication method and system for ubiquitous electric power Internet of Things intelligent metering equipment, relates to the technical field of Internet of Things communication, and solves the problems of inaccurate quantitative communication, insufficient communication efficiency and poor flexibility in existing intelligent metering equipment communication. According to the invention, the accuracy and reliability of data transmission are improved through a dynamic network self-organizing algorithm and a multi-hop communication mechanism, the communication efficiency is optimized through multi-path transmission and dynamic spectrum management, and the flexibility and adaptability of the network are enhanced through an adaptive modulation coding model and a real-time optimization link selection strategy. And secure transmission of the data is further guaranteed through a multi-layer security mechanism, and the communication performance and flexibility of the intelligent metering equipment are remarkably improved.

The invention discloses an Internet of Things data transmission optimization system based on intelligent routing, and relates to the technical field of data transmission optimization. The heterogeneous network access module supports adaptive switching of multiple protocols such as 5G, NB-IoT and LoRa, and monitors link quality; intelligent routing decision selects an optimal path by means of deep reinforcement learning, and end-to-end delay is reduced; data distribution scheduling split data streams are transmitted in a multi-path parallel mode, and forward error correction is combined to guarantee reliability. The network state prediction uses an LSTM to predict bandwidth, and a route is adjusted in advance; the secure transmission integrates iris authentication and dynamic encryption. According to the invention, efficient, reliable and secure transmission is cooperatively realized, energy collection and dormancy strategies are combined, the equipment endurance is greatly prolonged, the network energy consumption is reduced, and the method is suitable for industrial control, telemedicine and other scenes with high requirements on real-time performance and reliability.

The invention relates to the technical field of integration of artificial intelligence security and network security, and discloses an AI dynamic security transmission system based on an SASE framework, which realizes security access control based on AI dynamic identity verification through an SASE integration access module, acquires and predicts network performance change in real time by using a network state sensing module, and transmits the network performance change to a network server. Equipment, environment and data content are subjected to multi-dimensional analysis by means of a security risk assessment module, a quantitative risk score is generated, and a transmission protocol, parameters and encryption strength are dynamically adjusted according to a network state and the risk score by means of a dynamic transmission optimization module and a self-adaptive encryption module; the problem that safety protection and transmission efficiency are difficult to cooperate in a traditional architecture is effectively solved, low-delay and high-reliability data transmission service can be provided for AI application in a complex network environment, meanwhile, self-adaptive dynamic protection of the whole data transmission process is achieved, and data safety is comprehensively guaranteed.

The invention relates to the technical field of energy storage power station combined operation and maintenance management, and provides a virtual power plant-oriented energy storage power station combined operation and maintenance management system, which comprises a dynamic sensing module for acquiring battery cluster temperature difference distribution, power converter switch transient characteristics and grid-connected point harmonic spectrum data of an energy storage power station in real time through a multi-dimensional sensor network; the collaborative decision-making module is used for dynamically generating a cross-station power interaction constraint rule based on the virtual power plant topological structure; the impedance reconstruction module adjusts the equivalent output impedance of the energy storage converter in real time according to the impedance characteristics of the power grid; the state balancing module is used for realizing charge state dynamic balance and power margin collaborative distribution among the multiple energy storage power stations; and the secure communication module is used for ensuring secure transmission of control instructions among the modules by adopting a layered encryption protocol. The operation stability, the power distribution flexibility and the equipment safety of the virtual power plant can be improved, and the service life of the energy storage equipment is prolonged.

The invention belongs to the technical field of computers, and particularly relates to an information integration management method and system supporting real-time updating, and the method comprises the steps: accessing a heterogeneous data source through a distributed gateway, carrying out the adaptive analysis of a protocol, and standardizing a structure; adding a millisecond timestamp and a unique identifier, and generating a semantic data cluster through streaming engine sliding window association analysis; after multi-dimensional consistency verification is executed, writing and storing are carried out by adopting a double-buffering and snapshot isolation mechanism; and dynamically assembling the customized view according to the user role and the context and safely returning the customized view. The system correspondingly comprises a protocol analysis module, a time sequence marking module, a streaming association module, a semantic verification module, a double-buffer control module, an index updating module, a view assembling module and a secure transmission module. According to the invention, millisecond-level real-time convergence, conflict-free fusion and on-demand view output are realized, and the data access flexibility, the quality guarantee capability and the service adaptation flexibility are comprehensively improved.

The invention discloses a three-dimensional signal secure transmission method and device based on index modulation. The method comprises the following steps: generating four-dimensional chaotic sequences X, Y, Z and U from a key initial value through a chaotic model; performing XOR operation on the original data by using an encrypted sequence generated by X and U in the four-dimensional chaotic sequence to obtain encrypted data; performing binary conversion on the key initial value to obtain a binary key initial value consisting of N four bits; dividing the encrypted data into N groups, each group having 15 subcarriers, determining a to-be-inserted silent position of each group of subcarriers according to a binary key initial value, performing three-dimensional mapping after the silent subcarriers are inserted, and setting the silent subcarriers at an original point position to obtain a three-dimensional constellation diagram; performing constellation masking on the three-dimensional constellation diagram by using Y and Z in the four-dimensional chaos sequence; carrying out IFFT (Inverse Fast Fourier Transform) on the three-dimensional constellation diagram after constellation masking, adding a suffix, and carrying out parallel-serial conversion to obtain transmission data; and transmitting the transmission data to a receiving end through an optical fiber channel.

The invention provides an AI-based multi-user data storage docking and secure transmission method, which comprises the following steps of: acquiring a propagation path of a hot topic according to a multi-modal content association graph, performing fragmentation storage on the propagation path by adopting a clustering algorithm, and generating a fragmentation storage index table; when the relevance of different modal contents is higher than a preset threshold value, determining that the sensitivity grading result is consistent with the multi-modal relevance, performing dynamic rule adjustment by adopting a deep learning model, generating a dynamic auditing rule set, and obtaining boundary judgment parameters of the rule set; and distributing the dynamic auditing rule set and the decision transparency index to each service line by adopting a cross-platform data synchronization protocol according to the auditing decision log, generating a cross-platform consistency auditing standard, and obtaining a synchronization log of standard execution.

The invention relates to the technical field of data fusion, in particular to a multi-source heterogeneous data fusion method and system based on cloud computing, and the method comprises the steps: carrying out the feature extraction of multi-source heterogeneous data, and generating standardized metadata comprising a data type, a transmission protocol and a semantic tag; an adaptive interface is dynamically generated based on the metadata, the adaptive interface comprises a data format conversion module, a protocol packaging module and a semantic analysis module, and cross-domain compatible data streams are output; performing data fragment encryption and priority marking on the cross-domain compatible data stream to generate a secure transmission block carrying a transmission feature vector; incremental fusion is executed at the cloud fusion node, semantic conflicts are detected by constructing a knowledge graph, and a fusion intermediate state is generated; and performing dynamic verification on the fusion intermediate state based on the credibility evaluation model, and outputting final fusion data with a credibility label. According to the method, the dynamic verification and hierarchical labeling of the fusion result are realized, and the semantic consistency and expandability of the fusion intermediate state are ensured.

The invention discloses a computer network data secure transmission system and method, and particularly relates to the technical field of network data secure transmission, and the system comprises a dynamic key management module which generates a key seed through a quantum random number generator, generates a dynamic key bound with a data packet in combination with a timestamp, and transmits the dynamic key to a server; after being encrypted by a receiving end public key, the data are transmitted through an independent verification channel; the dual-path transmission control module is used for establishing dual channels of a main path and a shadow path, a data packet of the main path is embedded into a random camouflage protocol header to simulate a non-sensitive protocol, and a blank data packet is filled in the shadow path to maintain traffic characteristics; according to the real-time verification engine, a receiving end constructs an encrypted hash tree to achieve fragment-level integrity verification, and meanwhile, requests key state three-state verification from the key management module. Through key dynamic generation and separation transmission, dual-path adaptive fragmentation distribution, fragmentation hash tree reconstruction and key linkage verification, and abnormal triggering fragmentation level retransmission, the problems of long-term effectiveness of a static key, predictable transmission path and verification lag are solved.

The invention relates to an Internet of Things equipment intelligent management platform based on edge computing, and aims to realize efficient and intelligent management of Internet of Things equipment through an edge computing technology. According to the platform, the edge nodes are deployed near the data source, so that local processing and storage of the data are realized, the data transmission delay is remarkably reduced, and the response speed of the system is improved. And the platform is provided with an intelligent management module, so that the equipment state can be monitored in real time, faults can be predicted, repair operation can be automatically executed, and the stability and reliability of the system are enhanced. And a self-adaptive data stream processing algorithm is adopted, and the data stream is dynamically adjusted according to a real-time network state and equipment requirements, so that the high efficiency of data processing is ensured. The secure transmission module protects the data transmission process through an end-to-end encryption technology, and prevents data leakage and tampering. The cloud-side collaborative resource scheduling system realizes optimal allocation of resources, and a user-defined rule engine provides high flexibility and personalized management strategies to meet different user requirements.

The invention discloses a financial privacy security alignment method and system based on federated learning and adversarial training, and the method comprises the steps: enabling a plurality of financial institution clients to obtain local financial data, and carrying out the semantic analysis and sensitivity grading; constructing a federated learning framework, performing homomorphic encryption on a local model gradient by adopting Paillier, uploading the local model gradient to an aggregation server for secure aggregation, and generating global gradient update parameters; dynamically selecting a desensitization strategy based on the business scene weight and the data sensitivity, and executing field-level desensitization processing on the financial data; an adversarial sample is injected in local model training, and a task loss function and an adversarial loss function are jointly optimized; and mapping compliance terms into technical rules, and completing privacy protection and compliance alignment. According to the method, data privacy protection is enhanced, the data leakage risk is effectively reduced, and financial data privacy security is ensured. Safe transmission and effective aggregation of data are ensured, and the global model training efficiency and safety are improved. An adversarial sample is injected, and high accuracy and stability are kept.

The invention provides a cross-platform low-code application development system based on a Flutter framework. Comprising a login registration module, a project management module, an interface design module, a state management module, a route management module, a team management module, a help document module, an AI page design module, a development document generation module, a hardware integration module, a code generation module, a multi-user collaborative development module, a communication module, an online simulator module, an AI generation application module and an interface management module. An asset management module, a developer forum module, an application market module and an application packaging module. The communication module supports various communication protocols and secure transmission modes, and ensures that data exchange applied to cross-platform and cross-system environments is secure and reliable. Through component dragging and graphical configuration, the low-code platform automatically analyzes configuration data to generate an App, a development document and a source code. And meanwhile, multi-person collaborative development is supported, so that the development threshold is reduced and the development speed is increased.

The invention discloses a wireless communication network data secure transmission method and system, and relates to the technical field of secure transmission. During system operation, agricultural monitoring data are collected in real time through various sensor devices arranged in an agricultural environment, encryption processing is performed by using a symmetric encryption algorithm, and a dynamic key length adjustment mechanism is supported; a random number generator is integrated, unified management is performed on key generation, distribution, updating and destruction in a system, a timestamp or a random serial number is embedded into each data packet, the uniqueness of the timestamp or the serial number is verified at a receiving end, so that replay attacks are resisted, and the data are comprehensively analyzed and evaluated according to a set algorithm, so that the replay attack is prevented. The method comprises the following steps: acquiring a security data transmission performance index SDTP through calculation, generating a monitoring report, detecting abnormal conditions in a data transmission process, including channel quality reduction, data loss or verification failure, and providing a visual monitoring result.

The invention relates to the technical field of data encryption and transmission, in particular to a power grid cross-domain operation and maintenance data secure transmission method and system based on encryption, and the method comprises the steps: pre-judging a current risk through a historical network security event, dividing a network environment into different risk intervals based on a risk level evaluation value, encryption strategies with different intensities are correspondingly matched, so that refined security management and control with higher risk and stronger protection are realized; a triple progressive identity authentication system of an equipment layer, a dynamic layer and a biological layer is constructed, a dynamic permission management and control mechanism driven by identity attributes and risk levels is constructed, a basic permission boundary is determined based on inherent identity attributes of an operation and maintenance terminal, and permission strength and validity period are dynamically adjusted in combination with a risk level evaluation value. And finally, generating an access control strategy only adapted to the current terminal, the current risk and the current access request, so as to perform data encryption and transmission through the target encryption strategy and the access control strategy, thereby ensuring the security of data transmission.

The invention discloses an integrated multi-network integration satellite portable station, which belongs to the technical field of wireless communication networks, and comprises the following steps: a radio frequency module acquires satellite link signal quality and ad hoc network node distribution parameters, and generates a network original parameter set; the parameter processing module generates a network state feature vector through multi-dimensional feature extraction, and dynamically calculates a fusion weight value of the satellite and the ad hoc network based on a multi-target optimization model; the data receiving unit generates a multi-network modal scheduling instruction and a coding path according to the weight value, and receives production data and an emergency video stream; the data encapsulation unit encapsulates data in a mixed manner of framing compression and quantum key encryption; and the routing distribution module dynamically distributes the transmission proportion according to the weight. According to the invention, dynamic fusion weight calculation, a closed-loop power adaptive algorithm and a multi-protocol coding path selection mechanism are adopted, so that real-time optimal distribution of network resources, dynamic adaptation of transmitting power and efficient and safe transmission of mixed data streams can be realized.

The invention discloses a fall risk real-time assessment system and method based on big data, and relates to the field of risk assessment, and the system comprises a data collection and preprocessing module, a big data processing and integration module, a feature extraction and selection module, a fall risk assessment module and a real-time monitoring and early warning module which are sequentially connected and cooperatively work. Wherein the data acquisition and preprocessing module is responsible for acquiring data from a plurality of sources and converting the data into digital signals; the big data processing and integration module is responsible for secure transmission, convergence and preprocessing of data; the feature extraction and selection module is responsible for extracting features related to the falling risk from the preprocessed data; the tumble risk assessment module is responsible for real-time assessment of tumble risks based on the extracted features; and the real-time monitoring and early warning module is responsible for triggering an early warning signal according to the falling risk assessment result. According to the invention, accurate and real-time evaluation of the falling risk, accurate and timely output of the evaluation result and rapid response of the early warning signal are realized.

The invention discloses a video monitoring system and device based on quantum encryption communication, and relates to the technical field of secure transmission of relay chain video data. The video monitoring system and device based on quantum encryption communication comprise the following modules: a data acquisition module for acquiring transmission data through front-end equipment and performing standardized preprocessing on acquired multi-modal data; the quantum encryption communication module is used for evaluating the security of the video data in a transmission process and dynamically adjusting a transmission strategy based on an evaluation result; the relay chain transmission module is used for analyzing the reliability of a relay chain link and optimizing a link load distribution mode; and the parallel chain data processing and collaborative analysis module comprehensively judges the collaborative response capability of the node in the data transmission process and generates an optimization report based on a judgment result. The problem that in the prior art, when high-intensity interference and data hijacking risks exist, the safety and reliability of a transmission link are difficult to guarantee is solved.

The invention provides an image data secure transmission method, computing equipment and a computer storage medium. The method is applied to a data sender, and comprises the following steps: executing a first image encryption algorithm, and performing encryption processing on a transmission image through an image key to obtain a ciphertext of the transmission image; executing a first key encryption algorithm, and performing encryption processing on the image key through an encryption key to obtain an encrypted image key; the first image encryption algorithm is different from the first key encryption algorithm; and forming a transmission data packet from the ciphertext, the encryption key and the encrypted image key, and transmitting the transmission data packet to a data receiver. Therefore, a proper image encryption algorithm is adopted for the image data, and a proper key encryption algorithm is adopted for the image key, so that real-time performance and security are both considered in the image data encryption process through a mixed encryption mode.

The invention discloses an inland river water transportation facility monitoring data secure transmission method based on a block chain technology, and the method comprises the following steps: selecting an optimal sensor for data collection according to the geographic position and operation environment of a facility through a dynamic sensor switching mechanism, and eliminating errors caused by equipment faults and environment interference, after the collected data is subjected to time-space aggregation processing and classified according to geographic areas and time windows, based on a block chain node selection algorithm, an optimal node is selected for data transmission, the data is encrypted by adopting a hierarchical encryption strategy, the encrypted data is stored in a block chain network, and the data is transmitted to the block chain network through a threshold-triggered smart contract. And monitoring the stored data in real time, and automatically adjusting a monitoring scheme or starting an emergency mechanism when the stored data exceed a preset threshold value. The invention aims to improve the security and integrity of monitoring data transmission.

In some aspects, the techniques described herein relate to a system that is configured to perform operations including: generating first transfer data associated with transferring a first container image to a destination computer system, wherein the first container image is associated with a first layer and a second layer; storing first tracking data representing that the first layer and the second layer have been transferred to the destination computer system; receiving a first request to transfer a second container image to the destination computer system, wherein the second container image includes the first layer and a third layer; and based on receiving the first request, generating second transfer data associated with the second container image based on the first tracking data, wherein the second transfer data includes the third layer and a first indication that the second container image is associated with the first layer.

The invention provides an adaptive data encryption method based on risk driving, and belongs to the technical field of data security based on deep learning. The method comprises the following steps: firstly, constructing a multi-dimensional input feature by collecting context information such as a communication behavior sequence, a topological structure and an equipment state; secondly, designing a communication risk intelligent assessment module based on an echo state network and a multi-head attention mechanism to realize joint identification of communication behavior types and risk levels; then, constructing an encryption strategy decision module composed of a rule tree and a strategy neural network cooperatively, and obtaining an optimal disturbance level, a disguise level, an encryption algorithm, a channel type and other strategy combinations in a limited strategy space according to an identification result; and finally, executing structure disturbance, behavior camouflage and data encryption packaging according to a strategy result, and performing secure transmission through a hidden channel. The method breaks through the limitations of lack of context modeling, uncontrollable strategy acquisition, extensive encryption granularity and the like in the traditional communication encryption technology, and has remarkable technical advantages.

The invention discloses a road roller construction quality real-time monitoring system based on digital twinning, and relates to the technical field of road roller construction intelligent monitoring, and the road roller construction quality real-time monitoring system comprises a data acquisition module which uses a multi-modal fusion sensor network and edge calculation to comprehensively acquire and preprocess data; the digital twinborn model building module is used for modeling by combining physical-data dual drive with geological characteristics; the data transmission module is used for ensuring efficient and safe transmission by using a software defined network and a block chain; the real-time monitoring and analysis module is used for carrying out multi-scale space-time correlation analysis and generating virtual data; and the decision support module fuses deep reinforcement learning and a knowledge graph, supports man-machine cooperation decision, and provides intelligent suggestions for construction. According to the invention, the advantages are obvious, multi-modal acquisition and edge calculation ensure accurate and real-time data, a dual-drive model truly simulates construction, an advanced transmission technology ensures data safety, multi-scale analysis comprehensively evaluates quality, full-process coverage improves construction quality and management intelligence, and cost reduction and efficiency improvement are realized.

The invention discloses a self-sensing monitoring method, system and equipment based on a lightning arrester, and relates to the technical field of power equipment monitoring. The self-sensing monitoring method, system and equipment based on the lightning arrester comprises the following steps: S1, collecting lightning stroke data in real time through multi-sensing fusion, and performing data cleaning and standardization processing on the lightning stroke data; s2, adopting a three-mode sensing and three-source power supply cooperation mechanism to realize state-driven adaptive sensing and energy path switching; s3, automatically scheduling a communication path according to a communication type and link quality, dynamically analyzing and compensating transmitting power, and completing authentication encryption and multi-hop secure transmission; s4, lightning stroke characteristics are extracted, an equipment life prediction model is constructed, residual life prediction is realized, and equipment health grade division and operation strategy adjustment are carried out according to the residual life prediction model; and S5, calculating an electric leakage deviation value by reconstructing a current waveform, triggering graded early warning and linking a communication power and energy supply strategy. The problem that the operation of a power system is affected due to large leakage current monitoring errors is solved.

The invention relates to the field of data security, in particular to a hard disk data protection and secure transmission system. Comprising a Bluetooth module, a hard disk and a storage channel security encryption chip, the storage channel security encryption chip is in wireless communication with mobile phone end application software through the Bluetooth module for identity authentication, and hard disk access authority unlocking and sensitive data releasing are achieved according to an identity authentication result; the storage channel security encryption chip is connected between the host and the hard disk to realize data encryption and decryption transmission and partition control of the hard disk; the hard disk is divided into a public area, a private area and a hidden area, the public area stores open resources in a plaintext form, the private area stores personal data in a ciphertext form, the hidden area stores sensitive data in a ciphertext form, and the sensitive data are accessed by adopting a private protocol through a special tool. According to the invention, access control, hierarchical management, virus protection and secure transmission functions of hard disk data are realized, and the problem of data leakage caused by loss or theft of storage equipment is solved.

The invention provides a key charging method and device based on quantum key protection. The method comprises the following steps: a charging client sends a key negotiation request to a local key server; the local key server obtains a first quantum key through the quantum key distribution network as a shared key and sends the shared key to the charging client and the target key server; the charging client sends a charging key acquisition request to the target key server; the target key server obtains the charging key and encrypts the charging key by using the shared key to generate a charging key ciphertext; the target key server sends the charging key ciphertext to the charging client; and the charging client writes the charging key ciphertext and the shared key into the key charging security medium to complete key charging, so that secure transmission and storage of the key among different security environments are ensured through the quantum key distribution network, and the charging key is encrypted by using the quantum key in the transmission process, so that the security of the key is ensured. And the security and reliability of key management are improved.

The invention discloses a dynamic encryption method and a dynamic encryption device for secure transmission, and relates to the technical field of secure encryption and transmission, and the method comprises the steps: receiving a secure transmission task sent by a user side; performing security risk fuzzy detection to obtain a path risk fuzzy detection result; performing encryption optimization configuration to obtain an initial encryption strategy; obtaining current node update monitoring data corresponding to the current transmission node; inputting a transmission security risk prediction channel to obtain a current node prediction risk coefficient; and performing dynamic encryption optimization according to the current node update monitoring data to obtain a current node optimization encryption strategy, and performing secure transmission on communication transmission data. The technical problems that in the prior art, static encryption lacks flexibility, cannot adapt to complex transmission environment changes and transmission path safety risk assessment is insufficient, so that data transmission safety and reliability are insufficient are solved, and the technical effect of improving data transmission safety and reliability is achieved.

The invention discloses an intelligent valve actuator remote monitoring and fault early warning system based on the Internet of Things, which relates to the field of valve actuator monitoring and comprises a data acquisition module, a data transmission module, a data storage and management module, an analysis and fault diagnosis module, an early warning module, a remote control module, a user interaction module, a safety protection module, a log recording and auditing module, an environment perception module and an intelligent prediction module. A plurality of sensors collect data, a hybrid communication architecture and quantum encryption transmission are used, distributed storage and cloud computing are combined, deep learning and reinforcement learning are fused to diagnose faults, early warning is performed based on a dynamic threshold model, remote control is performed by using digital twinning and a block chain, an immersive interface and voice interaction are supported, and system configuration is adaptively adjusted. A multi-level security protection system is adopted, and logs are analyzed and recorded by means of a block chain and big data. The valve actuator is monitored in real time in an omnibearing mode, data are accurately collected, transmission is stable and safe, faults are accurately diagnosed, early warning is conducted in time, remote control is supported, interaction is convenient and safe, and industrial operation is guaranteed.

The invention provides a cross-border data multi-terminal display interaction system based on a digital cockpit and an interaction method thereof. The cross-border data multi-terminal display interaction system comprises a data acquisition module, a data transmission module, a data storage module, a data processing module, a data display interaction module, a user authentication and authority management module, a data sharing and collaboration module and the like. The data acquisition module acquires and preprocesses data from a cross-border multivariate data source; the transmission module adopts a security protocol to guarantee secure transmission of data and can monitor the link state; the storage module constructs a distributed system to store data, and can perform classified management and backup recovery; the processing module processes data by using a big data technology; the display interaction module provides a multi-terminal adaptation interface, a rich visual component and an interaction function; the user authentication and authority management module ensures safe access of data; and the data sharing and cooperation module supports real-time synchronization and conflict processing. Through a CBMTIA algorithm, the system realizes data acquisition integration and preprocessing, encryption security transmission, intelligent terminal identification adaptation, data synchronization and consistency maintenance.

The invention discloses a remote data rapid transmission system and method based on the Internet, a client initiates a session establishment request containing a session type identifier and a transmission protocol identifier to a server, receives a session response message after transmitting an initial data packet, obtains a temporary session key through verification of a key distribution center, and transmits the session response message to the server; an authorization identifier and a protocol verification symbol are generated through hierarchical decryption, a security enhancement data packet is constructed and sent, an end-to-end encryption transmission channel is further established, and meanwhile, a session maintenance mechanism is provided. And the server verifies a session type identifier and a transmission protocol identifier of the client, generates a session response message containing a dynamic confusion strategy and a trap identifier, submits the session response message to a key distribution center for signature, returns the session response message to the client, activates a secure transmission service instance after verifying a security enhancement data packet, and implements a series of security control strategies. According to the invention, the problems of low transmission efficiency and poor security of the existing remote data transmission system are effectively solved, and efficient and secure data transmission is realized.