1898results about How to "Prevent tampering" patented technology

The invention discloses a device access method and system based on protocol conversion, and relates to the technical field of dynamic information processing of multi-device access, and the method comprises the following steps: 1, connecting a device to be accessed through an adaptive physical interface, and receiving an original communication protocol sent by the device according to the physical interface standards of different devices; according to the device access method and system based on protocol conversion, all access devices are managed in a centralized mode through a unified standard protocol, the management efficiency of the system is greatly improved, communication resources can be reasonably distributed, communication delay or data loss caused by resource contention of some devices is prevented, and the user experience is improved. The communication link and the data transmission strategy of each device are dynamically adjusted, it is ensured that the system can still operate stably under the high-load condition, the communication encryption unit is responsible for encrypting communication data between the devices and the system, the data are prevented from being stolen or tampered in the transmission process, and the integrity of the data and the credibility of the source of the data are ensured.

The invention discloses a remote regulation and control LED lighting system based on the Internet of Things, and relates to the technical field of LED lighting systems, comprising an LED lighting equipment module which comprises an efficient lamp, a microcontroller, an Internet of Things communication module, a remote control terminal module supporting multi-protocol and encryption, having Mesh networking, a multi-terminal control, having multiple functions and innovation formulas, and a sensor module; the intelligent LED lighting control system has the advantages that environment information is collected, the data management and analysis module stores and analyzes data, energy-saving management and the like are achieved, all the modules work cooperatively, and the functions of remote intelligent regulation and control, fault self-inspection, butt joint with other systems and the like of LED lighting are achieved. Through collaborative innovation of multiple modules, remote intelligent regulation and control of LED lighting are realized, the lighting quality and user experience are improved, energy is saved, consumption is reduced, the system has the functions of fault self-checking and alarming and the like, the reliability and compatibility of the system are improved, and the diversified requirements of modern lighting systems are met.

The invention relates to the technical field of water quality and water level monitoring, and discloses a water quality and water level monitoring method for a water conservancy project, which comprises the following steps: S1, arranging a multi-parameter water quality and water level monitoring sensor at a key position of the water conservancy project; s2, performing real-time processing on the data acquired by the multiple sensors based on a data fusion algorithm, wherein the data fusion algorithm is based on a Kalman filtering model; s3, acquiring external data through an environment sensor, and dynamically adjusting a water level and a water quality monitoring threshold value based on environment change; s4, predicting the water level and the water quality by using a deep learning algorithm based on LSTM (long short-term memory network); and S5, if the monitoring data exceed the dynamic threshold value, automatically triggering an early warning mechanism. By arranging the multi-parameter water quality sensor and the water level sensor at the key positions of the water conservancy project, the water quality and the water level can be comprehensively monitored, the coverage range and the precision of the monitoring system are greatly improved, and the complex monitoring requirements of multi-source pollution can be effectively met.

The invention relates to the technical field of computer storage, in particular to an encryption method and related equipment. The encryption method comprises the following steps: generating a unique device identifier through a polymorphic ring structure, wherein the unique device identifier is used for generating a unique identifier and a key of the solid-state storage device; based on the generated device identifier, a multi-dimensional dynamic key is generated in combination with a multi-dimensional mixed function and is used for data encryption; and encrypting the segmented data by using a multi-dimensional dynamic key, and embedding a progressive vector check code into each data segment to enhance the security of the data segment level. According to the method, the defects of the existing solid-state storage equipment encryption technology in the aspects of key management, encryption mechanism, key irreversibility, real-time monitoring and the like are overcome, and all-around guarantee is provided for data storage security.

The invention relates to the technical field of computer storage, and discloses a computer memory data processing system, which comprises the following modules: an intelligent cache prefetching module, which is used for predicting a future memory access address based on deep learning and reinforcement learning technologies and loading data into a cache in advance; the heterogeneous storage management module is used for dynamically classifying the data based on the data popularity value and realizing migration of the data among different storage media; and the storage consistency guarantee module is used for managing the data consistency among different storage layers through the improved MES I protocol. Cache prefetching is optimized by introducing deep learning and reinforcement learning technologies, and by predicting a future memory access address in real time and loading data in advance, the system effectively reduces the cache missing rate, improves the cache hit rate, remarkably reduces the memory access delay, and improves the memory access efficiency. And the system can keep more efficient data access performance in a large-scale data processing scene.

The invention provides a green power consumption classification accounting and right tracing method and system of a multi-dimensional account, and relates to the technical field of power, and the method comprises the steps: generating green power transaction matching data through collecting power utilization data and power generation plan data in real time; constructing a distributed account book node network, verifying the matched data, and generating a green power transaction block; and constructing a green power right traceability model based on the transaction block, calculating a green power consumption weight coefficient of the power consumption enterprise, and generating a green power consumption level and a right certificate. According to the invention, precise accounting and right traceability of green power consumption are realized, and the energy management efficiency is improved.

The invention provides an expandable block chain identity authentication method and system for a distributed resource aggregation scene, and relates to the technical field of block chain identity authentication, and the method comprises the steps: receiving a user identity authentication request, generating an identity identification string through a distributed Hash algorithm, and selecting a verification node cluster to deploy a smart contract; each verification node executes the smart contract to verify the identity identification string, constructs an access authority control strategy and generates an authentication block; and when the number of the blocks reaches a preset threshold value, selecting a newly added verification node based on the terminal equipment information, deploying an intelligent contract, and realizing distributed storage through the verification node cluster broadcast authentication blocks. According to the invention, the expandability of identity authentication is improved, the dynamic expansion of the verification node is realized, and the reliable storage and efficient propagation of the authentication information are ensured.

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 fresh flower selling management system and method based on a block chain technology, and relates to the technical field of fresh flower management. A data acquisition module acquires real-time data of a fresh flower planting link and a logistics transportation link, transmits the real-time data to a block chain storage module, and binds an identifier of a fresh flower; the block chain storage module is used for storing the fresh flower information and storing the data of the full life cycle of the fresh flowers in a distributed account book; the user access module is used for checking a display legend of the fresh flower and related information of the fresh flower at a user side, and the intelligent contract module is used for generating order information and carrying out payment settlement and automatic account division; the inspection module is used for inspecting flower quality and flower information; and the abnormity monitoring and feedback module is used for timely recording and sending notifications when abnormity is found in the planting, transportation or sales process, and quickly positioning problem nodes. According to the method, the transparency of the whole flow of fresh flower planting and transportation is improved, the data security and credibility are ensured, and rapid traceability is realized.

The invention discloses a security protection method and system for an information management system and a storage medium, and relates to the technical field of security protection.During operation of the system, when a user logs in or carries out sensitive operation, multiple identity verifications are carried out, an identity verification coefficient AC is obtained through calculation, various security parameters in the system are collected and updated in real time, and the security protection efficiency is improved. A high-strength encryption algorithm is applied to data to be transmitted, an encrypted data packet is generated, a transmission encryption coefficient EC is obtained through calculation, corresponding access permissions are set for different data based on user roles, identities and access content, an abnormal monitoring coefficient ADC is obtained, and a comprehensive safety coefficient SEC is obtained through calculation according to an identity verification coefficient AC, the transmission encryption coefficient EC and the abnormal monitoring coefficient ADC. The overall safety of the system is dynamically evaluated, abnormal behaviors are recognized and logs are recorded by comparing the comprehensive safety coefficient SEC with a preset threshold value, and when the system detects an abnormal access mode, a safety alarm is triggered and countermeasures are taken.

The invention relates to the technical field of piston ring group wear monitoring, in particular to a piston ring group wear life prediction method and system. The method comprises the following steps: collecting working state data of a piston ring group in real time, de-noising by using improved wavelet transform, processing missing data by using a KNN interpolation method, standardizing and normalizing the processed data, adopting a filtering label generation and auditing mechanism to ensure the ordered homogeneity of the data, and constructing an over-limit learning machine model to obtain a piston ring group model; a hidden layer weight and an offset vector are randomly generated to calculate a hidden layer output matrix, a whale optimization algorithm is adopted to optimize model parameters, the prediction precision is improved, then the residual life is predicted, a final prediction result is used for calculating a fault risk coefficient and comparing the fault risk coefficient with a preset threshold value, maintenance suggestions are provided, and real-time data and the prediction result are displayed. And a user is assisted to make a maintenance decision. The advanced signal processing technology and the machine learning algorithm are combined, and the maintenance efficiency of the piston ring set and the reliability of equipment operation are improved.

The invention relates to the technical field of communication, and discloses a communication data transmission and temporary storage method and device and a storage medium, and the method comprises the following steps: S1, receiving and partitioning initial data, and storing the initial data in a cache region; s2, calculating weighting coefficients of the data blocks and performing priority ranking; s3, encrypting the data blocks according to the sequence; s4, transmitting the encrypted data to a target end through a security protocol; s5, the target end decrypts the data and verifies the integrity; s6, temporarily storing the verified data blocks in a temporary storage area until all the data blocks are transmitted; and S7, after the transmission is completed, recombining and storing the data block in the target equipment. According to the method, the data is subjected to blocking, priority ranking, encryption transmission and decryption recombination, so that the security, integrity and transmission efficiency of the data in the network transmission process are ensured, and the method is suitable for a communication system needing high security and high data integrity.

The invention relates to the technical field of parking management, in particular to an intelligent parking order tracing and auditing method and system, and the method comprises the steps: receiving order data from a plurality of parking platforms, carrying out the preprocessing of the order data, and inputting the preprocessed order data into a block chain platform for storage and management; performing automatic processing and auditing on the order data by using an intelligent contract, and forming an auditing log; a time-space Transform model is established, intelligent analysis is carried out on data in an audit log, finally encryption tracing processing is carried out on the audit log, a user carries out order query, data audit and report generation through a user interaction module, data loss, tampering and malicious destruction are effectively prevented, order processing efficiency and accuracy are improved, and user experience is improved. Manual intervention and errors are reduced, an administrator can conveniently check and verify the access history and operation record of order data at any time, and the safety and traceability of the data are ensured.

The invention provides a safety protection algorithm design method for an industrial control system, which is used for determining a safety protection target and range, determining a key component and a business process and defining a protection boundary. And then risk assessment and threat modeling are carried out, potential threat and attack vectors are identified, and asset vulnerability and risk influence are assessed. Designing a security protection algorithm framework, selecting proper security technology and algorithm, and determining architecture and module composition. Identity authentication modules, data encryption and integrity protection modules, intrusion detection and defense modules and the like are designed in detail, and authentication modes, key management modules, integrity verification modules, intrusion detection algorithms, response strategies and the like are designed. And then realizing and integrating an algorithm, and programming in the system to realize and guarantee the cooperative work among the modules. And the performance and the security of the algorithm are optimized through a function and security test. And finally, deploying the algorithm to the industrial control system, continuously monitoring the operation state and the security situation of the industrial control system, dynamically adjusting the strategy and parameters, and effectively guaranteeing the security of the industrial control system.

The invention discloses an environmental monitoring system based on an optical sensor, and relates to the technical field of environmental monitoring, and the system comprises the following components: a quantum entanglement module, an optical sensor integration module, a quantum measurement and data processing module, and a data transmission and sharing module. By integrating the quantum entanglement module, the optical sensor integration module and the quantum measurement and data processing module, high-precision and real-time monitoring of environmental parameters is realized, the quantum entanglement technology provides measurement precision and anti-interference capability superior to those of a traditional optical sensor for the system, the accuracy and reliability of data are ensured, and meanwhile, the quantum entanglement technology can be used for monitoring the environmental parameters in real time. Due to the design of high sensitivity and wide dynamic range of the optical sensor, the system can stably work under various complex environment conditions, and the efficiency and accuracy of environment monitoring are effectively improved.

The invention provides a distributed energy regulation and control method and system based on 5G network and block chain collaboration, and the method comprises the steps: building an energy block chain-based IES power transaction architecture which comprises a block chain node; docking the regulation and control object with a block chain node in an IES power transaction architecture, wherein the block chain node is used for storing the smart contract subjected to security verification; constructing a distributed energy optimization scheduling model considering the 5G network and a mathematical model of a cooperative scheduling mechanism; and the intelligent contract generates a scheduling instruction according to the distributed energy optimization scheduling model and the mathematical model of the cooperative scheduling mechanism, and the scheduling instruction value is issued to the power generation and utilization unit after passing constraint condition check.

The invention belongs to the field of privacy protection data, and provides a privacy protection data exchange method and system under a zero-trust network architecture in order to solve the problem that a traditional scheme cannot cope with the privacy leakage risk through data analysis. The privacy protection data exchange method under the zero-trust network architecture comprises the following steps: performing tagging processing on user behavior data, equipment state data and operation environment data; executing multi-dimensional dynamic risk assessment, and calculating a comprehensive risk score; adjusting privacy budget and noise intensity according to a comprehensive risk scoring result, and protecting a data query result in combination with an adaptive differential privacy mechanism; performing dynamic data desensitization based on information entropy on a data query result; embedding a self-evolved data watermark into the data after the data query result desensitization processing is completed; the embedded watermark data is exchanged through the encrypted transmission channel, and the transmission process is monitored in real time, so that the security and integrity of the data exchange under the zero-trust network architecture are ensured.

The invention provides a financial information management method and system based on a block chain technology. The method comprises the following steps: receiving a financial transaction request initiated by a user, and performing hash operation on a data block to generate a hash value of the data block; based on the hash value and identity verification information of the user, generating an encrypted signature by using an improved elliptic curve digital signature algorithm, and binding the transaction time of the preliminary transaction proposal with the encrypted signature by using a timestamp service; broadcasting the data block corresponding to the preliminary transaction proposal and the encrypted signature to a plurality of nodes by using a distributed network so as to determine an effective financial transaction; and linking the data blocks corresponding to the effective financial transactions to a preset block chain according to a time sequence and a logic relationship based on a Merkle tree structure, and regularly checking the consistency and integrity of data on the chain. The financial information management method which is high in safety, cannot be tampered and is traceable can be provided, and the safety of financial transactions is improved.

The invention relates to the technical field of photovoltaic voltage regulation, and discloses a distributed photovoltaic power distribution network voltage control system and method. According to the system and the method, voltage and power information of each measurement point is acquired through a data acquisition module, related data of the photovoltaic inverter is collected, and a communication module receives the data and transmits the data to a control module and a monitoring management module; the control module calculates voltage-power sensitivity, a power factor, voltage deviation, power loss and reactive power compensation requirements according to the data, evaluates the running state of the current power grid and judges whether reactive voltage regulation is needed or not, and the monitoring and management module calculates system response time and fault occurrence probability and controls the system response time and the fault occurrence probability. And judging whether the control effect reaches the expectation or not, analyzing faults and abnormities, providing an adjustment strategy for the voltage stability and the photovoltaic power generation efficiency by the optimization scheduling module, acting on the control module again, optimizing system operation by issuing a new control signal, generating a system optimization report and sending the system optimization report to a display end.

The invention relates to the technical field of electric power data acquisition with an encryption function, and discloses an electric power data acquisition terminal with an encryption function and a method. By combining the environment data and the equipment state, the encryption process enhances the security and adaptability of data encryption. Environment and equipment data input ensures that encryption results are different, and potential safety hazards caused by static data sources are avoided. The data are reasonably combined through a seed generation formula, it is ensured that the seeds have enough randomness, and the brute force cracking risk is reduced. The key generation strategy generates a unique key through a seed, so that the attack resistance of the system is improved. The key matrix and random number generation strategy improves the unpredictability of the encryption algorithm. And dynamically updating the encryption matrix to prevent the encryption matrix from being cracked in long-term use. In the whole process, comprehensive protection of the data in acquisition, encryption and transmission is ensured, and the data is effectively prevented from being tampered or stolen.

The invention discloses an electric power engineering defect diagnosis method based on AI image recognition and a block chain technology, and relates to the technical field of electric power engineering defect diagnosis, and the method comprises the following steps: setting the initial flight rate of an unmanned plane according to the monitoring demands and field conditions of an electric power line, it is ensured that the unmanned aerial vehicle can cover all key areas of the power line in the inspection process, and meanwhile the inspection efficiency is kept. According to the invention, by intelligently adjusting the flight rate of the unmanned aerial vehicle, the unmanned aerial vehicle can stay in a potential abnormal area for a longer time, and detailed acquisition of temperature data is ensured, so that tiny temperature changes, especially tiny temperature anomalies caused by electric arcs and electrical overload, can be captured more accurately. According to the intelligent adjusting mechanism, in the inspection process, the inspection efficiency of the whole process can be guaranteed, accurate monitoring of the key area can be guaranteed, and the risk of detail loss or temperature anomaly missing detection caused by the too high flight speed is reduced.

The invention provides a concentrator efficient data acquisition optimization method and system. The method belongs to the technical field of electric power communication, and comprises the following steps: setting each reading task as an exclusive task or a parallel task, performing priority distribution on the reading tasks, and introducing a state machine for executing a first reading task, namely a to-be-read data task configured by a main station; after a system is started, whether exclusive tasks exist in a task pool or not is judged firstly, and if yes, all the exclusive tasks are executed according to a priority sequence; and after the execution of the exclusive task is completed, obtaining all parallel first copying and reading tasks in the task pool, performing parallel execution through a task scheduling mode of the state machine, and obtaining corresponding to-be-copied data items. By setting the reading task as the exclusive task or the parallel task and performing priority allocation, system resources can be utilized more efficiently, and the data acquisition efficiency is improved.

The invention discloses a diagnostic data remote transmission method based on a regional remote diagnosis and treatment platform. The method comprises the following steps: S1, collecting diagnostic data of a patient; s2, preprocessing the acquired diagnosis data; s3, carrying out data transmission by utilizing a short-distance wireless communication technology and a long-distance mobile communication technology; s4, performing data encryption and identity verification by adopting AES and RSA encryption algorithms; s5, after the regional remote diagnosis and treatment platform receives the diagnosis data, decryption and identity verification are carried out on the data; s6, performing image data analysis by using a convolutional neural network, processing character data by using a natural language processing technology, predicting and classifying physiological parameters by using regression analysis and a classification algorithm, and performing fusion analysis on multi-modal data in combination with a deep learning model; and S7, transmitting the analyzed and processed diagnosis result back to a local data terminal through a long-distance mobile communication technology. The system has the advantages of high transmission stability, high safety, high transmission efficiency and high diagnosis accuracy.

The invention relates to the technical field of financial science and technology, and discloses a blockchain-based bill creditor's right circulation and financing method and system, and the method comprises a bill information collection unit, a blockchain storage unit, a creditor's right auditing unit, a circulation transaction unit, and a financing application unit. According to the invention, the security of bill information is guaranteed through an asymmetric encryption algorithm, and tampering and stealing are prevented; multiple links such as rigorous creditor's right auditing, identity information comparison, endorsement continuity check and transaction contract auditing ensure that the bill is true and legal; the circulation transaction mechanism is efficient, convenient and clear, the links of listing, inquiry, bargaining, transaction and the like are covered by a clear process, a price matching algorithm promotes transaction conclusion, a smart contract automatically executes creditor's right transfer and information updating, and the transaction efficiency and accuracy are improved; financing application service is complete, enterprise application is convenient, a strict auditing mechanism is combined with credit evaluation and creditor right auditing to guarantee financing safety, more financing channels are provided for enterprises, and entity economic development is promoted.

The invention discloses an intelligent anti-theft and tracking method and system for cargo transportation, and the method comprises the steps: dynamically adjusting the collection frequency of a sensor through introducing a risk weight coefficient, combining the real-time position information of a cargo and an environment state vector, thereby accurately evaluating the risk level of an area where the cargo is located, and carrying out the intelligent anti-theft and tracking of the cargo on the basis. According to the method, a multi-level dynamic region chain is constructed, priority processing and redundant storage are carried out on key data in a high-risk region, and meanwhile, the consistency and integrity of data in the cross-region transportation process are ensured through a global chain synchronization mechanism; besides, the built cross-region cargo anomaly prediction model realizes real-time monitoring and anomaly identification of the cargo state through a multi-region data fusion rule; the method has the remarkable advantages in the aspects of improving the cargo transportation safety, achieving accurate tracking and enhancing the reliability and safety of data processing, and an innovative and practical solution is provided for logistics management at home and abroad.

The embodiment of the invention provides a quantum-fused protocol communication method and device, equipment and a storage medium, and the method comprises the steps: calling a communication interface, and transmitting a verification message to a quantum key service platform, so as to carry out the identity safety verification and apply for a session key; receiving and decrypting a first encrypted session key sent by the quantum key service platform to obtain a session key; sending the encrypted session identifier to a server, so that the server applies for a session key from a quantum key service platform; and performing encrypted communication with the server according to the session key. According to the embodiment of the invention, the whole quantum key communication process is packaged in the communication interface, so that software developed based on a traditional network interface can be simply and safely migrated to quantum. Moreover, identity security verification is carried out through the verification message, man-in-the-middle attack is prevented, and the communication security is enhanced. In addition, the client and the server encrypt and decrypt the communication data by using the same session key, thereby realizing secure encrypted communication.

The invention discloses an intelligent power distribution network monitoring method and system based on multi-source data fusion, and relates to the technical field of intelligent power distribution network monitoring, and the method comprises the following steps: S1, carrying out the business data encryption of an intelligent fusion terminal; s2, monitoring the load change of a power system of the power grid dispatching master station in real time through AGC, and enabling the intelligent fusion terminal to automatically receive and execute active and reactive power control instructions sent by the power grid dispatching master station; s3, monitoring the voltage level of a power system of the power grid dispatching master station in real time through AVC, and enabling the intelligent fusion terminal to automatically receive and execute voltage and reactive power regulation instructions sent by the power grid dispatching master station; and S4, the battery management system monitors the inverter connected to the network in real time by calling an API interface, and the fusion intelligent terminal automatically receives and executes an energy storage output adjustment instruction sent by the power grid dispatching master station. According to the invention, flexible control of the distributed photovoltaic terminal is realized by adopting a multi-fusion automatic communication technology and an artificial intelligence technology.

The invention discloses a transformer intelligent temperature monitoring device based on a monitoring technology, which relates to the technical field of transformer intelligent temperature monitoring and comprises a temperature sensing module, a data processing module, a fault diagnosis module, a data transmission module and a remote monitoring module. And the temperature sensing module is used for acquiring temperature information of each key part of the transformer in real time. According to the invention, high-precision temperature monitoring is realized through the fiber grating sensor, the anti-interference capability is enhanced, and accurate fault diagnosis is realized through the GRU neural network and the fuzzy logic algorithm. And a dual-channel redundancy communication mechanism is adopted to ensure the stability and safety of data transmission. A Web-based remote monitoring platform improves the operation convenience, and a multi-level alarm function ensures safe operation. The system integration module realizes seamless connection with the existing power monitoring platform, has high adaptability and expansibility, reduces the deployment cost, and improves the equipment management efficiency.

The invention discloses a transparent logistics supply chain tracing management system fused with a block chain technology. The transparent logistics supply chain tracing management system comprises a data acquisition module, a block chain storage module, an intelligent contract module, a user interface module and a data analysis module, the data acquisition module is responsible for collecting real-time data of each link of a supply chain and transmitting the data to the block chain storage module; the block chain storage module uses SHA-256 and ECDSA algorithms to ensure the security and authenticity of the data; according to the method, the blockchain technology is utilized, data of all links of the supply chain is subjected to chaining storage, the data are open, transparent and non-tampering, and the credibility of the data is enhanced; through an SHA-256 Hash algorithm and an ECDSA signature algorithm, the security and integrity of the data in the transmission and storage process are ensured, and the data are prevented from being tampered or forged; and transactions and operations in the supply chain are automatically executed through the intelligent contract module according to a preset rule, so that human intervention is reduced, and the automation level and the operation efficiency of the system are improved.

The invention discloses an intelligent tamper alarm and data self-destruction protection terminal equipment system, which relates to the technical field of data security, and comprises a sensor detection module, an environment sensing module, an operation recording module, a data summarization module, a data analysis module and a risk assessment module. In combination with the environment sensing module, the physical state and surrounding environment information of the equipment can be comprehensively and accurately collected, meanwhile, the operation recording module records all operation behaviors of the equipment in detail, the data analysis module carries out deep analysis on the data through an advanced algorithm, and the risk assessment module can calculate risk coefficients according to the comprehensive data. Therefore, the state of the current terminal equipment can be analyzed according to the risk coefficient, normal operation or environment change is effectively prevented from being misjudged as a disassembly or intrusion behavior, the false alarm rate is remarkably reduced, and unnecessary troubles brought to a user due to false alarm are reduced.