1181results about How to "Increase the difficulty" patented technology

The invention discloses an SM4 encryption method based on an FPGA, and relates to the technical field of data encryption, and the method comprises the steps: obtaining to-be-encrypted plaintext data; a plurality of SM4 encryption cores are configured on the FPGA chip to perform parallel encryption operation on plaintext data to be encrypted; wherein each SM4 encryption core adopts a pipeline architecture, and the pipeline architecture comprises an access device, a round function arithmetic unit and a key adder; an extraction circuit based on physical noise and integrated on the FPGA chip is utilized to generate N-bit random numbers as encryption keys of each SM4 encryption core; handshake signals are collected to calculate the operation efficiency of each SM4 encryption core; adjusting FPGA resource allocation among the SM4 encryption cores by adopting a priority scheduling algorithm according to the operation efficiency; in the encryption operation process, power consumption equalization is carried out by adopting polynomial and logical operation hybrid calculation, and time sequence randomization is carried out by adopting a random waiting period. Aiming at the problem of weak anti-difference sensitivity in the prior art, the side channel attack resistance is improved.

The invention relates to a low-loss corner-lifting and movement tearing cooperative type film tearing process of a screen display glass protective film. The process comprises the following steps: S1, tearing a film on an A surface; s2, transferring the screen display glass; and S3, tearing the film on the surface B. On one hand, in single-face film tearing, based on cooperation of the film tearing clamping jaw, the rolling wheel and the air nozzle, angle lifting is completed while the film tearing angle adhesive force is kept larger than the protective film tearing force, the damage and fracture rate of an adhesive tape and a corner is reduced, the high angle lifting success rate is achieved, meanwhile, through movement cooperation of the screen display glass and the film tearing clamping jaw, the film tearing difficulty is low, control is easy, and the film tearing efficiency is improved. The integrity and continuity of film tearing are high; on the other hand, overturning of the screen display glass is not needed in double-sided film tearing, transferring of the screen display glass is achieved in the protective film tearing process, the accidental friction rate in the glass overturning process is reduced, the structure is optimized, the layout space is greatly reduced, the equipment is miniaturized, and the double-sided film tearing efficiency of the equipment for treating the screen display glass is also improved.

The screen display glass film tearing equipment comprises a screen display glass loading unit, a film tearing unit and an adhesive supply unit, the screen display glass loading unit comprises a carrying table and a moving mechanism, the carrying table is used for positioning screen display glass downwards from a to-be-torn film, the film tearing unit is located below the to-be-torn film and comprises a film tearing head and a power device, and the film tearing head comprises a film tearing seat, a clamping jaw and a roller; the power device comprises a first power piece and a second power piece. On one hand, on the basis of movement cooperation of the clamping jaw and the rolling wheel, aligned gradual stripping of the rolling position and the stripping position of the to-be-torn film is kept, and on the other hand, the overturning angle is increased based on follow-up overturning of the extending section, so that the success rate of forming the stripping angle by inward overturning of the to-be-torn film is greatly increased; the probability that the glue is separated from the to-be-torn film or the corner of the to-be-torn film is torn is effectively reduced; on the other hand, diagonal film tearing is formed based on the relative movement of the screen display glass and the clamping jaw, the risk that the protective film is torn or falls off is reduced, and the whole film is torn off more efficiently in a more labor-saving mode.

The invention relates to a reasoning data synthesis method and system, and the method comprises the steps: obtaining a mathematical big language model, and carrying out the question fine adjustment of the mathematical big language model through a question fine adjustment method by employing a preset data set in a model training process, and obtaining the mathematical big language model processed through the question fine adjustment method; generating a sample problem through the mathematical big language model processed by the problem fine tuning method; the sample problem is optimized through a problem preference optimization method, and then the optimized sample problem is used for training the mathematical big language model processed through the problem fine adjustment method; taking the mathematical big language model processed by the problem fine tuning method and the problem preference optimization method as a problem generator, and filtering problems generated by the problem generator; a corresponding answer is generated for each filtered question to synthesize inference data. The reasoning data synthesis method not only can ensure the data quality, but also can reduce the generation cost and improve the generation efficiency.

The invention discloses a communication method for an enterprise network and remote router equipment of a DCS (Distributed Control System). A communication adaptation module is arranged at an enterprise network end and comprises a protocol conversion unit, a data encryption unit, a flow regulation and control unit and a timestamp embedding unit; the far-end router equipment end is provided with a corresponding reverse communication adaptation module. Two-way interaction of data and control instructions is realized through a two-way communication link, and a dynamic link detection and repair sub-module is configured to guarantee stability of the link. According to the method, the problems of protocol compatibility, data security, flow regulation and control, time management, link maintenance and the like are solved, the communication efficiency and quality are improved, efficient, safe and stable operation of remote communication and control functions of the DCS in industrial production is ensured, and the method has a good application prospect.

The invention discloses an attack trapping method and system based on network attack surface adaptive conversion, and the method comprises the steps: dynamically converting vulnerabilities and weaknesses in a system, so that an attacker is difficult to determine an entrance of a real system; threat intelligence and a network environment are monitored and analyzed in real time, and abnormal traffic and potential attack behaviors are identified; constructing a false target and monitoring attack behaviors, and obtaining behavior characteristics and attack means of an attacker; attack behavior data are analyzed by using artificial intelligence and a machine learning algorithm, potential threats are quickly identified and responded, a threat intelligence library and a defense strategy are updated, and the method better adapts to constantly changing attack means and threat forms. The method not only can trap attack behaviors, but also can collect and analyze behavior characteristics of attackers, and provides more accurate data support for network security decision and threat prediction.

The invention discloses a middle and low voltage distribution network cooperative regulation and control method and device based on reliability evaluation, and belongs to the technical field of power system optimization. According to the method, a zone area in the low-voltage power distribution network is projected into a feasible space to obtain a feasible region, flexible resources such as distributed photovoltaic, electric heating loads and distributed energy storage of the zone area of the low-voltage power distribution network are projected and aggregated into constraint conditions of virtual load nodes in the medium-voltage power distribution network, and a medium-voltage power distribution network model and a corresponding objective function are constructed based on the constraint conditions. And obtaining a switching action sequence corresponding to the medium-voltage power distribution network after solving the objective function. According to the method, a medium and low voltage power distribution network cooperative reliability improvement strategy considering the virtual load nodes is provided, all flexible resources of a low voltage power distribution network zone area are represented through the virtual load nodes, and the variable dimension and the calculation complexity of medium and low voltage power distribution network reliability evaluation are reduced; the linkage between the flexible resources of the transformer area and the medium-voltage power distribution network switch is realized, and the reliability of the medium-low voltage power distribution network is effectively improved.

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 relates to the technical field of data processing, and discloses a radio frequency fingerprint identification method based on a deep optimization adaptive attention mechanism, and the method comprises the steps: receiving a target equipment radio frequency signal, and carrying out the down-conversion, filtering and digital sampling of the target equipment radio frequency signal, and obtaining an original IQ data sample; preprocessing the original IQ sample to obtain a training data set; inputting the training data set into a convolutional neural network for pre-training to obtain a pre-training model; performing fine tuning on the pre-training model to obtain a downstream task model; and using the downstream task model to classify and identify unknown equipment data. Through time window segmentation and feature enhancement, the definition and consistency of radio frequency signals are improved, and meanwhile, the influence of noise and interference is reduced; and the effect of improving the capturing capability of the model on multi-scale and key features in a complex environment is achieved through the differentiated attention mechanism module.

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.

The invention discloses a privacy-enhanced digital identity attribute selective disclosure and verification method, which is characterized in that a user does not need to provide hash values of all privacy information plaintexts when selectively disclosing privacy information, and the hash values of all the privacy information plaintexts are not required to be provided except the privacy information expected to be disclosed. And the other parts are multiple hash transformations of which the hash values disclosed for verifying the legality of the identity attribute information are all plaintext privacy information. Identity attribute hash is used as a leaf node of a Merkel tree to construct the Merkel tree, root hash is generated, a credential issuing party only signs the Merkel root hash, and a verification party only needs to verify the signature to prove the authenticity and integrity of the identity attribute. Salt value nodes are added in a Merkel tree, identity attributes and hash values thereof are hidden, the difficulty of brute force cracking and rainbow table attacks is increased, and identity information leakage is avoided. When the Merkel tree is constructed, brother nodes are added for leaf nodes of each identity attribute, when the identity attributes are selectively disclosed, other identity attributes can be effectively hidden, and leakage of identity information is avoided.

The invention relates to a rail transit unmanned aerial vehicle data protection system and method, electronic equipment and a medium. The system comprises a grading and classifying module, a batch processing module and an encryption module which are connected in sequence. The grading and classifying module is used for carrying out classification and grading processing on the original data of the rail transit unmanned aerial vehicle and dividing the original data into key sensitive data and general data; the batch processing module carries out batch processing on output of the grading and classifying module, key sensitive data form a file needing to be encrypted, and general data form a plaintext file; the encryption module carries out encryption processing on the to-be-encrypted file output by the batch processing module to generate an encrypted file; the system further comprises an abstract calculation module connected with the batch processing module, a plaintext file and a file needing to be encrypted are subjected to abstract calculation through the abstract calculation module, and then the plaintext file and the encrypted file are sent to the wireless transmission module to be subjected to integrity verification. Compared with the prior art, the method has the advantages of classified protection, good safety, high flexibility and the like.

The invention discloses a deep learning-driven intelligent analysis method for automobile supply chain bill data, and relates to the technical field of data management.The deep learning-driven intelligent analysis method comprises the steps that an automobile supply chain bill is scanned to obtain scanned images of the automobile supply chain bill, and then the multiple scanned images obtained through scanning are preprocessed periodically to obtain a ciphertext conversion sequence; converting the ciphertext conversion sequence, and determining an array ciphertext interval of each pre-processing period according to the number of pre-processing times and the number characteristic of the segmentation array of the currently pre-processed scanning image in the process of pre-processing the scanning image, according to an array ciphertext interval, 16 kinds of originally existing four-bit binary numbers are compressed into 8 kinds, and ciphertext characters are used for increasing fault tolerance of a ciphertext conversion sequence after forward transmission, so that the ciphertext conversion sequence obtained through final conversion can have 16 kinds of four-bit binary numbers on the whole or in groups, complexity and difficulty are increased for three-party cracking, and the conversion efficiency of the ciphertext conversion sequence is improved. And the security of the scanned image in transmission is further ensured.

The invention relates to the field of solid state disk data encryption, in particular to a solid state disk data encryption method and system. The method comprises the following steps: performing partition table structure analysis on the solid state disk, and performing hard disk capacity distribution analysis to obtain hard disk capacity distribution data; acquiring to-be-written hard disk data; performing data partitioning processing on to-be-written hard disk data, and performing confusion encryption processing so as to construct a confusion encrypted data sequence; obtaining a pre-stored random picture; pixel channel decomposition is carried out on a pre-stored random picture one by one, and maximum data steganography distribution density calculation is carried out, so that the maximum data steganography distribution density is obtained; and based on the maximum data steganography distribution density, carrying out data distribution encryption steganography on a pre-stored random picture by using the confused encrypted data sequence, and carrying out visual deviation fine tuning so as to generate a visual fine tuning steganography picture. According to the invention, efficient and safe solid state disk data encryption is realized.

The invention relates to the field of security encryption, and discloses a method for preventing an MCU internal program from being copied. Through the encryption scheme, a development company can effectively protect software and hardware research and development results, and a client is prevented from easily obtaining a program code through a grinding disc shoveling plate and the like under the unauthorized condition; the technical scheme adopted by the invention aims to reduce the cost of encryption protection, so that the encryption protection method is suitable for projects with various scales and costs, especially the fields of small household appliances with sensitive cost and the like; by combining various security technical means, such as a PUF circuit and a block chain platform, the invention aims to provide a more comprehensive and efficient security protection scheme to effectively resist illegal copying and tampering behaviors.

The invention discloses an internal medicine laboratory data sharing and querying system, and relates to the technical field of laboratory data security sharing. A special management and control terminal is arranged to match internal medicine laboratory data of a corresponding patient according to identity information of a pre-queried patient; according to the method, the preset security conversion rule is used for converting the internal medicine laboratory data to obtain the corresponding shared query data, so that the dependence on a key is eliminated, the management cost of the key is saved, and the management difficulty is reduced; in the process of converting the internal medicine laboratory data, the internal medicine laboratory data is intercepted through the preset intercepted character quantity, whether each character in the intercepted data is 8 or 9 or not is judged, a plurality of grouped word strings are intercepted and selected based on judgment, and then the corresponding shared conversion sequence is obtained, so that the security of the data is improved, and the conversion efficiency of the internal medicine laboratory data is improved. And a safer and more reliable guarantee is provided for sharing and querying of internal medicine laboratory data, and the privacy of patients and the safety of medical data are ensured.

The invention discloses an intelligent two-dimensional code anti-counterfeiting verification system, and relates to the technical field of anti-counterfeiting, and the system comprises an information coding and encryption module, a phase conversion and encryption module, an optical instruction generation module, a scanning and instruction execution module, and a decryption and verification module. The information coding and encryption module is used for collecting comprehensive information of a product and generating a basic two-dimensional pattern according to a two-dimensional code coding standard. The phase conversion and encryption module is introduced, so that a major breakthrough of a two-dimensional code anti-counterfeiting verification technology is realized, the module can convert key information into phase information, and the phase information is transmitted to the two-dimensional code; according to the optical encryption method, the two-dimensional code is used as a laser source, normalization processing is carried out in combination with laser wavelength, the phase of reflected light in a specific area of the two-dimensional code is changed through a phase mask plate, so that encrypted information is embedded, the security and reliability of anti-counterfeiting verification are greatly improved, normal scanning and reading functions of the two-dimensional code are not affected, and the security and reliability of the two-dimensional code are improved. And a more powerful technical guarantee is provided for product anti-counterfeiting.

The invention discloses an electric two-wheeled vehicle flow-based regional battery swap station deployment method without historical data. The method comprises the steps of obtaining regional feature data and environmental data related to a battery swap station in a city; constructing and training a generation model based on an analysis result of the historical data of the deployed battery swap station area in combination with a de-noising diffusion probability model; constructing a battery swap station deployment optimization problem which enables the correlation between the number of battery swap stations and the two-wheeled vehicle area flow and the coverage area of the battery swap stations to reach the maximum balance; solving a battery swap station deployment optimization problem through a simulated annealing algorithm to obtain an optimal battery swap station deployment scheme; in the step-by-step solving process, calling the trained generation model to synchronously generate the electric two-wheeled traffic flow according to the regional feature data and the environmental data of the target region; and realizing the electrical changing station deployment of the target area through the optimal electrical changing station deployment scheme. According to the method, the accuracy and efficiency of solving the optimization problem of the electric swap station deployment and the practicability of the electric two-wheeled vehicle regional swap station deployment can be improved.

The invention discloses a chart anti-fact question and answer construction method and system based on bootstrap generation. The method comprises the steps that visual description and metadata in a chart image are extracted; based on the chart visual description text, generating an initial anti-fact hypothesis proposal corresponding to the chart visual description text through a small-sample prompting method of a large language model, and generating proposal reserve meeting the quantity requirement in a bootstrap mode; based on the chart metadata and the initial question answer pair, sampling an anti-fact hypothesis proposal sample from the hypothesis proposal reserve, and generating an anti-fact question answer pair through a small sample prompting method of a large language model; after the anti-fact question answer pairs meeting the number requirement are collected, the texts and numerical values of the anti-fact question answer pairs are checked. According to the method, a chart question and answer data set with anti-fact logic can be constructed, a challenging test set can be generated for performance evaluation of a visual question and answer model, and diversified training corpora can be provided for training of a visual text model.

The invention relates to the technical field of online education, in particular to an interactive teaching method, system and device for online education and a medium. According to the invention, the timeliness of information transmission is enhanced through real-time labeling of a teacher and synchronous display of a student terminal; the understanding degree of the students is evaluated through the interactive answering task, so that the teacher can adjust the teaching strategy in time; secondly, comprehensively collecting student learning behavior data including annotation information viewing frequency, answering time, accuracy and the like, and generating personalized learning reports and teaching suggestions based on the multi-dimensional learning behavior data; the problem of real-time interaction is solved, comprehensive monitoring and accurate guidance of the learning process are realized through data analysis, and the effect of online education is remarkably improved.

The invention discloses an advanced data encryption protection technology for DNA information storage, and the specific technical scheme of the technology comprises the steps: coding to-be-encrypted data into small information blocks and transcoding the small information blocks into a DNA sequence through a coding and encryption scheme, after the DNA sequence is synthesized, introducing interference information through random errors or fractures, the interference intensity of random combination interference noise is effectively improved; the method for decrypting the DNA library carrying the encrypted information comprises the steps of sequencing, fragment assembly, information small block reconstruction, reordering and decoding, and finally decoding the original information based on an erasure coding scheme. The technology has a wide application prospect in the field of data storage and protection.

The utility model discloses an air floatation slag scraper, which is applied to the technical field of air floatation slag scrapers, and adopts the technical scheme that the air floatation slag scraper comprises an air floatation tank, rack tracks are symmetrically and fixedly arranged on the air floatation tank, a driving gear and a slag scraping gear are respectively arranged on the rack tracks at intervals in a matched manner, a driving component is fixedly connected onto the driving gear, and a slag scraping component is fixedly connected onto the slag scraping gear. The slag scraping gear is rotatably connected with a slag scraping assembly used for realizing slag scraping of the air floatation tank, and the driving assembly is fixedly provided with a transmission assembly used for driving the slag scraping assembly and the slag scraping gear to perform transmission on the rack track. The slag scraping device has the technical effects of simple structure, stability in operation and high slag scraping efficiency.

The invention provides a BMS upper computer system, and relates to the technical field of upper computer control, the BMS upper computer system comprises a BMS upper computer and a BMS, the BMS upper computer determines key data of the BMS according to a connection instruction, and sends a request seed message to the BMS; the BMS receives the request seed message; based on the request seed message, determining seed data according to the random factor, and sending the seed data; the BMS upper computer receives seed data returned by the BMS; based on a preset encryption algorithm, determining a first encryption seed result according to the key data and the seed data; the BMS determines a second encryption seed result based on a preset encryption algorithm according to the key data and the seed data, and verifies the first encryption seed result and the second encryption seed result; and when the first encryption seed result and the second encryption seed result are the same, connecting a BMS upper computer, and sending an identification binding success message to the BMS. According to the invention, the safety can be improved.

The invention discloses a speed reducing mechanism and a speed reducing motor with the speed reducing mechanism, and the speed reducing mechanism comprises a speed reducing box shell which is hollow inside so as to form a containing cavity, and the containing cavity is internally provided with lubricating oil; the gear train unit is arranged in the containing cavity, and the output end of the gear train unit can extend to the outer side of the containing cavity; the gear train unit is provided with a containing cavity, an opening communicated with the containing cavity is formed in the upper portion of the shell wall of the reduction gearbox shell, a ventilation structure is arranged in the opening, and the ventilation structure is configured to adjust the air pressure in the containing cavity when the gear train unit works. A concave cavity is formed in the intersection position of the open hole and the cavity wall of the reduction gearbox shell, cavity openings of the concave cavity are distributed in the adjacent cavity walls, different in extending direction, of the containing cavity, and the concave cavity is constructed to prevent lubricating oil from forming an oil film at the intersection position of the open hole and the cavity wall of the reduction gearbox shell.

The invention discloses a multifunctional electric power safety emergency experience and evaluation method, system and device and a medium thereof. The method comprises the following steps: acquiring historical electric power safety accident data; and the accident type, severity and occurrence frequency of the historical electric power safety accident data are intelligently classified and sorted based on an artificial intelligence algorithm. An immersive virtual experience scene is constructed by adopting VR, AR or MR technology in combination with AI aided design, a traditional single electric power safety emergency experience mode is changed, the scene has a high sense of reality, participants are personally on the scene, meanwhile, the interactivity of experience is greatly improved through designed interaction elements, interaction links and voice interaction, and the experience experience is improved. Participants can really feel the danger and urgency of electric power safety accidents; the performance in the electric power safety emergency experience process is evaluated in real time through the AI algorithm, the electric power safety emergency capability level of the participant can be reflected more objectively, and a powerful basis is provided for targeted training.

The invention relates to the technical field of ship berthing, and discloses a ship unberthing and berthing device and a using method thereof.The ship unberthing and berthing device comprises a pressed mechanism, the pressed mechanism further comprises a mounting plate, a fixing support is fixedly connected to the side wall of the mounting plate, before use, the whole device is mounted on the outer wall of a ship, and a pressed sliding frame is influenced by pushing of a spring telescopic rod and is fixed to the outer wall of the ship; the angle between the rotating frame and the mounting plate is reduced along with the reduction of the distance between the port and the ship, and the force applied to the rotating wheel by the rotating frame is continuously increased along with the reduction of the angle of the rotating frame, so that the rotating wheel is forced to slide along the outer wall of the rotating frame; the rotating wheel drives the pressed sliding frame to slide along the inner wall of the mounting plate through the rotating column, in the process, the pressed sliding frame is pushed by the spring telescopic rod to force the rotating frame to expand outwards, the expanding force offsets the transverse force of the feet for the ship to get close to the port, and the situation that friction is too large, and the berthing efficiency of the ship is affected is avoided.

The invention provides a process abnormity early warning method and system in a process industry process, and belongs to the technical field of process abnormity early warning, and the method comprises the steps of data acquisition, modeling, model training, incremental learning, third prediction, difference value calculation, judgment, alarm and the like. The system comprises a data acquisition module, a modeling module, a model training module, an incremental learning module, a third prediction module, a difference value calculation module, a judgment module and an alarm module. According to the method, from the perspective of process related parameters, changes of various factors are adapted through the incremental learning algorithm, that is, new knowledge can be learned based on new data, and accurate prediction of process abnormal phenomena is realized.

A computer software access identity verification method relates to the technical field of access identity verification, and comprises the following steps: constructing a software access control platform, collecting data information of each Internet of Things node, and carrying out identity verification operation on an access request of an access subject; constructing an access trend heat map of the main body ID, obtaining an identity verification layer number of the main body ID, performing multi-layer identity verification on the main body ID according to the identity verification layer number of the main body ID, and performing access request permission verification of the access main body when the multi-layer identity verification of the access main body is passed; and when the access request permission verification of the access subject is passed, setting an access monitoring item, performing dynamic verification monitoring on the access process of the access subject according to the access monitoring item, and controlling the access process of the access subject according to a dynamic verification monitoring result. The security, the flexibility, the user experience and the like are remarkably improved, and the method can better adapt to a complex Internet of Things environment.

The invention provides a method for realizing user login security authentication based on a cloud platform, which belongs to the technical field of security authentication and comprises management forms of password identity authentication, two-factor authentication, biological recognition authentication, certificate-based authentication and the like based on a cloud platform user. Security of transmission protocol encryption, password encryption, storage encryption and the like is also included, and data leakage is prevented; meanwhile, access control limitation of the user, user login security auditing and monitoring and the like are also included, and it is ensured that abnormal login or abnormal operation of the user can be found and processed in time. In the cloud platform system, whether multiple authentication modes, authentication timeliness and the like are configured for the user role, so that the user login process can be simplified in the complex cloud platform system.