59 results about "Cheating prevention" patented technology

The application relates to a network security competition anti-cheating method and system to maintain the fairness of the competition. Through a fixed cycle and random time point mixed interception mechanism, interactive data such as network traffic, logs, system calls and the like of the operation machine and the competition node are collected in real time, and the data integrity and randomness are balanced; after data cleaning, features such as abnormal instructions and sensitive commands are extracted, and the trust value of the team member is quantitatively calculated based on a machine learning model from the dimensions of abnormal operation frequency, sensitive operation proportion and operation concentration. According to the trust value, the high, medium and low intervals are divided, the security Flag generation strategy is dynamically adapted, and a differential encryption algorithm is used. Finally, the cheating is judged by comparing the consistency of the submitted and system extracted Flags, and the precision, efficiency and scene adaptability of the anti-cheating system are effectively improved.

The application relates to a gas household security check anti-cheating method and system, aiming to solve the problems of easy forgery, positioning simulation and single verification dimension of static two-dimensional codes in the prior art. The method comprises the following steps: generating an electronic dynamic two-dimensional code containing a dynamic encryption factor and a geographic position based on user historical data; when a security check personnel scans the code, the system performs real-time multiple verification on the validity of the two-dimensional code, the position proximity and the consistency of the encryption factor; after the verification, the security check is performed and the on-site photos are uploaded; whether the photos have repetition, blur or object missing abnormalities is analyzed through image recognition technology; finally, quantitative evaluation and state management are performed based on the results. Through the combination of dynamic encryption, multiple real-time verification and intelligent image analysis, a three-dimensional anti-cheating system is constructed, and the authenticity, reliability and management efficiency of the household security check are significantly improved.

1. Name of the product in this design: Multifunctional Integrated Examination Room Equipment (Ronglifang). 2. Purpose of this design: It is used for a portable, mobile, standardized integrated examination room equipment box, which has functions such as candidate identity verification, online monitoring, cheating prevention, electronic clock, broadcasting system, and examination room instruction broadcasting. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The right view has already been shown in the perspective drawing, so the right view is omitted.

The invention discloses a classroom sign-in and teaching interaction auxiliary system and method based on a two-dimensional code technology, the system is composed of an attendance checking terminal, an attendance checking server and student mobile terminal equipment, and student sign-in, classroom interaction and data management are realized through a two-dimensional code. The system comprises a sign-in module, a dynamic anti-cheating module, an interactive teaching module, a data analysis module and an education guide module, wherein the sign-in module is used for scanning codes to sign in and recording student feature information; the dynamic anti-cheating module realizes two-dimensional code dynamic refreshing and abnormal sign-in identification; the interactive teaching module supports random questioning, real-time question answering and question preemptive answering; the data analysis module performs statistics and standardization processing on the sign-in and interaction data to generate a classroom record and a learning situation report; and the education guide module pushes personalized contents based on student characteristics. Through combination of the two-dimensional code and data analysis, sign-in standardization, interaction quantification and teaching effect standardization are realized, and the problems of data missing and errors of a traditional sign-in mode are solved.

This invention relates to the field of computer technology combining artificial intelligence and educational measurement. It provides an intelligent automated examination system for university courses, comprising an automated examination center unit, a hardware and network construction unit, a hardware and software operation coordination unit, a software interface unit, an anti-cheating unit, a question bank unit, a marking unit, and an intelligent question bank management and maintenance unit. The system achieves student information binding through two-factor authentication; it ensures fair and randomized question paper generation by controlling the overall difficulty of the exam paper with a target average difficulty and tolerance; and it generates question bank management results using point-to-two correlation coefficients and two-column correlation coefficients as core statistical indicators, combined with multi-dimensional indicators, and constructs a closed-loop update mechanism. This invention enables full traceability and auditability of the examination process, effectively solving industry pain points and is suitable for the construction of automated examination centers in universities and daily course assessments.

The utility model discloses an anti-cheating mahjong tile for machine hemp, which relates to the technical field of mahjong tiles and comprises a main body layer, a character layer and an identification layer. The main body layer is set to be fully transparent, so that when a cheating person performs marking, no matter whether the main body layer is coated with a metamerism mark or a metamerism identification light source is used for irradiation, other players can discover the mark in time, the cheating person is difficult to perform marking, and the cheating behavior of the cheating person can be effectively prevented; meanwhile, at least one identification layer is arranged on the top surface or the side surface of the main body layer, and the identification layer has magnetism, so that the mahjong tiles can be used for shuffling of machine-made mahjong tiles and direction identification during stacking of the machine-made mahjong tiles, and the anti-cheating function of the machine-made mahjong tiles can also be achieved.

The invention relates to the technical field of environment monitoring, and discloses an anti-cheating preprocessing sampling bottle and a sampling method. The anti-cheating pretreatment sampling bottle comprises a bottle body, a bottle cap, an identity recognition module, a reagent bin, a fluid driving mechanism, a sensor module, an optical detection module and a control unit. The identity recognition module is used for operator authorization authentication; the sensor module acquires water quality parameter change data in a mixing process in real time; the optical detection module obtains optical characteristic data of the mixed sample; the control unit records identity authentication data, water quality parameter change data and optical characteristic data, and generates an encrypted data block uniquely corresponding to the sample through encryption. According to the method, the anti-cheating evidence chain of deep fusion of the electronic data and the physical attributes of the samples is constructed, the samples are endowed with non-tampering digital identities at the moment of collection, the fraud risk caused by separation of the electronic logs and the physical samples in the traditional technology is solved, and the anti-cheating capability of the sampling link and the original representativeness of the samples are improved.

The invention is suitable for the technical field of computers, and provides an anti-cheating method of an online examination system, which comprises the following steps: in an examination process, collecting a behavior video stream, an environment audio stream, a screen content stream and a man-machine interaction event stream of an examinee in real time, and generating multi-modal data; performing deep analysis on the multi-modal data to generate an abnormal confidence coefficient, and generating a cheating risk level in combination with the abnormal confidence coefficient; according to the cheating risk level, an intervention mechanism of the corresponding level is triggered, false alarms caused by misjudgment of a single data source are fundamentally avoided, and meanwhile the false alarms caused by environmental factors are avoided by dynamically adjusting the decision threshold value.

The invention discloses a property security inspection anti-cheating method and system, and relates to the technical field of property management, and the method comprises the following steps: S1, collecting the multi-modal data of an inspection process through a multi-source sensor, and carrying out the time synchronization and space registration processing; s2, extracting a human body posture key point sequence of the inspection personnel according to the processed multi-modal data, and constructing a space-time diagram by taking key points as nodes; s3, inputting the space-time diagram into a dynamic space-time diagram convolution network, and extracting a behavior feature coding vector through a diagram convolution operation and modal fusion strategy; s4, extracting behavior factors through the behavior feature coding vector, performing authenticity judgment on the inspection through a multi-factor fusion decision model in combination with an environment factor, a living body factor and a sequential logic factor, and outputting a judgment result; according to the invention, the problems of visual angle limitation and difficulty in dynamic behavior identification in traditional inspection verification are solved, and omnibearing and intelligent authenticity verification of the inspection process is realized.

1. Name of the product in this design: Exam Headphones (Japanese). 2. Purpose of this design: For use as anti-cheating headphones in Japanese language exams. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model relates to the technical field of anti-cheating equipment, in particular to a cheating prevention and control terminal for computer test, which comprises a signal shielding instrument body, a circulation net is arranged on the right side of the signal shielding instrument body, a fixing plate is mounted on the right side of the circulation net, and a cooling fan is mounted in the fixing plate. A rotating shaft is arranged on the right side of the fixed plate; and the shielding plate is installed on the outer surface of the rotating shaft, and a magnet is installed on the left side of the shielding plate. According to the utility model, the heat dissipation fan is started, external air is absorbed and enters the signal shielding instrument body through the heat dissipation fan, then the external air enters the interior of the signal shielding instrument body through the circulation net, the signal shielding instrument body can be subjected to overall heat dissipation, after heat dissipation is finished, the rotating shaft is rotated again, and then the magnet and the iron block are in contact with each other; therefore, the cooling fan can be shielded, and external impurities are prevented from entering the cooling fan.

The invention provides an anti-cheating examination management system for a computer examination, which relates to the field of anti-cheating examination management systems, and is characterized by comprising the following modules: a seating list learning module, an answering progress monitoring module, a cheating detection module, a screen recording module, a warning module and an evidence submitting module. The anti-cheating management system has the advantages that the problem that examinees cheat by observing adjacent screens in a current computer examination can be effectively solved by adopting the innovative anti-cheating management system, and the system can effectively prevent the examinees from cheating by monitoring and recording the screen content of the examinees in real time and automatically storing evidences when abnormal behaviors are found, so that the system is convenient to use. In addition, the system can identify potential cheating modes through data analysis, help an educational institution to further perfect examination management strategies and ensure the fairness and academic honesty of the examinations, so that the fairness and the seriousness of the examinations can be maintained, and the reliability of examination results can be improved.

According to the anti-cheating method and system in the attack and defense exercise, firstly, a dynamic identification verification mechanism is adopted to achieve the effect that players can only submit identification scores once in the same round, the attacking players can be effectively prevented from repeatedly conducting invalid or low-value attack operations through system vulnerabilities or rule vulnerabilities, and therefore the success rate of attack and defense is improved. Malicious score swiping is carried out in a score accumulation mode; secondly, specific operations of players are judged through host video monitoring, and real attack behaviors are discriminated through flow analysis; and meanwhile, security evaluation is performed on the server and the target drone at regular time, so that the security and auditing performance of attack and defense exercises can be further enhanced.

The invention discloses a remote intelligent anti-cheating system, a remote intelligent anti-cheating method, a micro device and a data acquisition module, which are used for uploading acquired original data through a security encryption channel, are deployed on equipment at an examinee end and are responsible for collecting all data which can be used for analysis. According to the remote intelligent anti-cheating system, method and micro-device, single monitoring is optimized to multi-modal fusion, a traditional scheme depends on a single data source such as only screen sharing or only camera, and the false alarm rate is high, the system optimizes and collects multi-dimensional data such as videos, audios, screens and processes at the same time, the core optimization lies in a data fusion algorithm, and the data fusion efficiency is improved. According to the method, abnormal signals in different modes can be subjected to correlation cross validation, so that false alarms are greatly reduced, for example, a system only triggers a high-risk alarm when the sight line is continuously deviated, subtle ear sound is detected at the same time, and screen content is suddenly stagnated, and does not give an alarm due to one action.

This invention discloses a blockchain-based system for certifying educational and training personnel qualifications and storing test scores. The core of the system is a consortium blockchain network containing educational supervision nodes, employing an improved and practical Byzantine fault-tolerant consensus algorithm and sharding technology to enhance efficiency. The teacher qualification certification module stores qualification data via IPFS and provides on-chain verification, combined with manual verification to ensure data authenticity. The student score storage module collects answer behavior data in real time, and after anomaly filtering and manual review, generates verifiable digital credentials. Merkel tree roots are anchored to the Bitcoin network to strengthen credibility. Supporting modules include dynamic trusted score calculation, multi-layered anti-cheating verification, and Polkadot cross-chain interoperability, enabling trusted scoring, cheating detection, and cross-domain credit recognition. It can also be extended to include metaverse teaching verification functions. This system, through technological and human collaboration, solves problems such as falsified educational and training qualifications, unreliable scores, and difficulties in cross-domain recognition, enhancing the effectiveness of educational supervision and adapting to diverse teaching scenarios.

The application discloses an advertisement screen inspection anti-cheating method and system, a terminal and a storage medium, and comprises the following steps: scanning and connecting an inspected device through an inspection application program; when the connection is successful, sending a detection instruction to an inspected application program in the inspected device; receiving detailed information of the current inspected device returned by the inspected application program, and verifying whether the current inspected device is a target inspected device according to the returned detailed information; if the current inspected device is the target inspected device, the current inspected device is allowed to perform an inspection work. The application utilizes a near field communication function, ensures that an inspector can only perform the inspection work when the inspector correctly arrives near the device, and thus avoids related cheating means.

The invention discloses a fish scale anti-cheating method and system based on multi-dimensional feature analysis and machine learning, and belongs to the technical field of electronic weighing instruments. The method comprises the following steps: acquiring an original weight signal sequence in a weighing process; effective weighing data segments are positioned through intelligent data cleaning; a ten-dimensional feature vector containing basic fluctuation, dynamic change and composite statistical features is extracted from the data segment; and performing classification prediction by using a pre-trained random forest model, and filtering and outputting a final result based on confidence. The system comprises a prediction service module, a core prediction module and a machine learning training module. According to the invention, through combination of multi-dimensional feature analysis and machine learning, the industrial problem that a completely static cheating object is difficult to identify in the prior art is effectively solved, and the accuracy, robustness and reliability of anti-cheating detection are significantly improved.

The invention discloses a consistency inference anti-cheating sign-in method and a consistency inference anti-cheating sign-in system based on cross-modal feature collaboration, and belongs to the technical field of identity verification. The method comprises the following steps of: acquiring original features of human faces, voiceprints, positioning and actions in real time through a multi-modal terminal, and mapping the original features into feature embedding vectors with uniform dimensions by using a feature encoder; and the system preferentially checks identity consistency, constructs a cross-modal time sequence feature matrix after verification is passed, and extracts feature variations of positioning and actions of adjacent nodes to screen suspected nodes. And introducing a sliding monitoring mechanism and a cross-modal conflict index evaluation model, dynamically accounting a local cheating risk score in combination with a suspicion frequency, and comparing the local cheating risk score with a blocking threshold, so as to identify and intercept cheating behaviors such as virtual positioning and video signing on behalf. According to the method, the limitation of a single mode is broken through, behavior logic abnormity is accurately identified, the false alarm rate of a complex scene is effectively reduced, and a high-robustness sign-in management closed loop is realized.

This invention discloses an anti-cheating monitoring method and system for platform scales based on the Internet of Things (IoT), relating to the field of platform scale monitoring technology. It involves setting up an IoT platform, connecting platform scale terminals to the platform, and binding the platform scale terminals to data packets in the IoT platform according to codes. The system collects equipment information from the platform scales, including sensor information and weighing information, and transmits this information to the corresponding data packets on the IoT platform. The system securely stores the equipment information through these data packets, analyzes the information, and identifies equipment information that does not meet preset conditions as abnormal information, alerting the platform scales corresponding to these abnormal information. This invention employs security technologies such as encrypted storage and access control in the data packets to ensure that the data is not tampered with or stolen during storage. It supports the review of historical weighing records and equipment status at any time, ensuring data security and thus guaranteeing the accuracy of platform scale cheating analysis.

The invention provides a weighing anti-cheating method and device, electronic equipment and a storage medium, and relates to the technical field of monitoring. Safe communication connection is realized by establishing an encrypted data transmission channel between a weighing instrument and a weighing sensor, and a metal grid protection layer is arranged at a wire outlet of the weighing sensor to arrange a physical protection structure. Abnormal wireless signals in the environment are detected in real time through multi-frequency-band scanning, directional shielding is started to execute signal monitoring and blocking when cheating signals are recognized, and correlation analysis is carried out on weighing data, vehicle characteristic data and personnel behavior data to recognize an abnormal weighing mode. And security audit and authority control for recording system operation logs and distributing system function access rights according to authority levels are implemented, so that the problem that multi-band cheating signals cannot be handled in the prior art can be solved.

The invention relates to an anti-cheating method fusing light analysis and background scenery cooperative verification, and belongs to the technical field of computer vision and biological recognized.The method comprises the steps that attendance image data is obtained, living body feature extraction and verification are conducted, and meanwhile blue light feature and reflection deformation feature extraction and analysis are conducted; a feature weight distribution mechanism is introduced, and an anti-counterfeiting living body verification conclusion is generated; constructing an image basic effectiveness verification mechanism, comprehensively extracting and analyzing a face ratio and background integrity, synchronizing spatial and temporal distribution characteristics, and generating an image basic effectiveness evaluation conclusion; background scenery features are extracted, consistency verification is carried out, an attendance scene scenery-light collaborative deep verification model is constructed, and a scene adaptation analysis report is generated; and presetting a historical image repeated troubleshooting verification database, comparing the similarity between the current attendance image data and the historical attendance image data, and generating a repeated troubleshooting opinion obtaining result in combination with a timestamp association verification mechanism. The method improves the accuracy and reliability of attendance checking and cheating prevention.

The application discloses an online examination anti-cheating method and system and electronic equipment, and belongs to the field of online examination and artificial intelligence monitoring. The method comprises the following steps: receiving a screen switching event time sequence feature vector reported by a front end, wherein the vector comprises a timestamp, a single screen switching duration, a cumulative screen switching number and IP change information; comparing the single screen switching duration with a first threshold value, comparing the cumulative screen switching number with a second threshold value, combining the IP change and the cumulative screen switching number to determine a violation level; in response to the screen switching event, generating a breakpoint snapshot containing answered content, remaining time, cumulative screen switching number and violation level and storing the snapshot; in response to a make-up request, restoring a test state from the snapshot, retaining and continuing to accumulate the cumulative screen switching number and the violation level, and dynamically adjusting a screen switching detection threshold value after the restoration according to the violation level. Through the bidirectional linkage of screen switching detection and breakpoint make-up, the application realizes lossless restoration of a violation state and adaptive adjustment of a detection parameter.

The application discloses an anti-cheating method and device for a voxel game, a storage medium and a program product. The method comprises the following steps: calculating temporary hash values of voxel blocks according to the attributes of voxel units in a game scene, at least one voxel unit being present in each voxel block, and at least one voxel block being present in the game scene; and outputting a cheating analysis result according to a comparison result of standard hash values and the temporary hash values of the voxel blocks, the standard hash values being hash values of the voxel blocks in the game scene before the game starts, and the temporary hash values of the voxel blocks being calculated in the same way as the standard hash values. The technical scheme can effectively prevent cheating behaviors of game players in the voxel game.

The invention discloses an equipment inspection anti-cheating method and apparatus, an electronic device and a storage medium, and through the application, communication between a mobile terminal and a target device can be established to obtain an equipment identifier and an inspection parameter, and a dynamic timestamp is generated and is associated with an equipment state parameter for verification; the identity of a user is compared with authorization information through an encryption algorithm to ensure the legality of the identity, the inspection data after double verification is locally stored in the form of an encrypted database, and the inspection data is uploaded to the cloud through a secure channel after network recovery, so that a full-process data security guarantee mechanism is formed; the technical effects of improving the authenticity and non-tampering property of the inspection data, enhancing the data security in an offline environment, ensuring the accuracy of equipment operation risk assessment and maintaining the industrial production safety are achieved.

The invention discloses an online examination system, and relates to the technical field of online examination systems. The intelligent question bank generation module is used for automatically generating a question bank by utilizing an intelligent algorithm according to knowledge points, difficulty coefficients and question type information; meanwhile, according to historical answering conditions of the examinees, difficulty and types of questions in the question bank are dynamically adjusted so as to adapt to requirements of different examinees; the intelligent invigilation module is used for monitoring behaviors of examinees in real time through a computer vision technology and automatically identifying and recording suspected cheating behaviors; meanwhile, the natural language processing technology is utilized to analyze the voice of the examinee in real time, and whether the cheating suspicion exists or not is judged. Through the machine learning algorithm, cheating behaviors can be effectively identified and prevented, the fairness of the examination is ensured, and in addition, the scoring accuracy and the reliability of the system are further improved through the application of the auto-encoder and the integrated learning technology.

The invention provides an anti-cheating supervision method for a gas station, which comprises the following steps of: obtaining the oil outlet quantity of a flow meter and a standard pulse number through a flow monitoring module, and comparing to obtain a pulse comparison result; oil level change data and oil temperature change data of the oil storage tank are obtained through the oil tank monitoring module; the actual pulse number, the oil gun oil outlet amount and the oiling machine displayed oil outlet amount are obtained through an oiling machine analysis module and compared, and an oil amount comparison result is obtained; acquiring image data around the electromagnetic valve through a video monitoring module, and when an unconventional condition occurs in the image data, performing label marking on the current moment; and transmitting the pulse comparison result, the oil quantity comparison result, the oil level change data, the oil temperature change data and the label marks to a central information processing module, and performing data analysis in combination with data acquired by a background data acquisition module to obtain different alarm levels. And automatic detection and overall management and control of cheating means of the gas station are realized.

The application discloses a consistency inference anti-cheating check-in method and system based on cross-modal feature cooperation, and belongs to the technical field of identity verification. The multi-modal terminal is used for collecting face, voiceprint, positioning and action original features in real time, and a feature encoder is used for mapping into a feature embedding vector with unified dimensions. The system firstly calculates the identity consistency, and constructs a cross-modal time sequence feature matrix after the verification is passed. The feature change amount of adjacent node positioning and action is extracted to screen suspicious nodes. A sliding monitoring mechanism and a cross-modal conflict index evaluation model are introduced. The local cheating risk score is dynamically calculated according to the suspicious frequency, and compared with a blocking threshold, so as to identify and intercept cheating behaviors such as virtual positioning and video signing. The application breaks the single mode limitation, accurately identifies the behavior logic anomaly, effectively reduces the false alarm rate in complex scenes, and realizes a high-robustness check-in management closed loop.

The application discloses a kind of based on random trigger and multi-modal verification's job concentration supervision method and system.Method includes: after starting supervision mode, multiple shooting moments are randomly generated in preset period;In each shooting moment, job area behavior image sequence is collected, and random verification symbol is output simultaneously, verification data containing user response information is collected;Whether the user response is consistent with the verification symbol is judged by identification model, whether learning related feature exists in behavior image sequence is simultaneously identified;If verification fails or continuous multiple times are missing learning features, it is determined as "non-concentrated state", and real-time push reminder is pushed to specified terminal, and concentration report is generated simultaneously.The application realizes real, effective concentration supervision by random trigger and multi-modal verification mechanism, has strong anti-cheating ability, and can work with intelligent tutoring system, and builds solid foundation for intelligent learning ecology.

The present application relates to the technical field of network data security, and discloses a cheating-preventing crowdsourcing task allocation method, device and electronic equipment, the cheating-preventing crowdsourcing task allocation method comprises the following steps: caching to-be-issued crowdsourcing tasks to form a task pool, and randomly issuing the to-be-issued crowdsourcing tasks in the task pool. The cheating-preventing crowdsourcing task allocation method can avoid the cheating behavior of taking the same task in a same time period by a script in a large quantity by adopting the caching+random mode to issue the crowdsourcing tasks, so as to ensure the normal allocation of the crowdsourcing tasks and the reliability and effectiveness of a related verification mechanism, improve the stability and safety and reliability of a crowdsourcing platform, and ensure the user experience.