79 results about "Security awareness" patented technology

A security awareness training system can include a recognition module, a mapping module, a customized training module, and an authentication module. The recognition module can detect when behavioral activity by an end user on an endpoint device creates one or more of i) a model breach indicative of a potential cyber threat and ii) a violation of a network policy, an email policy, or a cloud policy. The authentication module can cooperate with the recognition module to provide just-in-time cyber security awareness training on a display screen of the endpoint device associated with that specific end user, at a time when the behavioral activity by the end user on the endpoint device creates the one or more of i) the model breach indicative of the potential cyber threat and ii) the violation of the network policy, the email policy, or the cloud policy. The authentication module can cooperate with a mapping module and a customized training module to provide the just-in-time cyber security awareness training on the endpoint device associated with that specific end user at the time when the behavioral activity by the end user on the endpoint device triggers a need for the cyber security awareness training, which causes more relevant and better learning for the end user. The mapping module can correlate the just-in-time cyber security awareness training to the behavioral activity by the end user on the endpoint device that created the model breach and / or the violation.

The invention relates to the technical field of tax data security, and discloses a data sharing privacy protection platform responding to tax digital requirements. The platform comprises a tax data privacy perception layer, a sensitive information positioning mapping layer, a cross-source data security fusion layer, a compliance sharing decision-making layer and an execution state feedback layer. The tax data privacy perception layer obtains multi-source tax information based on a dynamic differential privacy mechanism, generates an initial privacy risk heat map and segments a sensitive area; the sensitive information positioning mapping layer generates a data internal privacy distribution stereogram through a security perception array and time sequence analysis; the cross-source data security fusion layer establishes a space-time mapping relation and generates a privacy disclosure risk score; the compliance sharing decision-making layer converts the score into an executable sharing instruction; and the execution state feedback layer monitors data change, generates an evaluation index and dynamically adjusts a privacy protection strategy. According to the platform, the privacy protection of the whole tax data sharing process is realized, and the accuracy and dynamism of risk identification and strategy adaptation are improved.

The invention discloses a computer big data information security risk behavior identification method and system, and aims to solve the problem of sensitive information leakage existing in image information transmission in chat software. According to the method, when a user sends a picture to a target contact person, detail information in the picture, such as an environment scene, position information, text content, associated figures and clothes and accessories, is automatically recognized, and a sensitive information prompt list is generated for the user to view. And the user can select to cancel the sending, perform desensitization processing or confirm the sending according to the prompt list, so that the sensitive information is effectively prevented from being leaked. According to the method, the sensitive information in the picture is automatically identified and the user is prompted, so that the safety awareness of the user is enhanced, and the risk of sensitive information leakage is effectively reduced. And meanwhile, flexible desensitization processing options are provided, so that the privacy of the user is protected, and the individual requirements of the user are met.

Provided in the embodiments of the present application are a virtual reality-based simulation method and system for experiencing a fall-from-height risk and injury. The method comprises: acquiring spatial structure data of a workshop of a hydropower station and power devices so as to construct a virtual reality scene of the hydropower station; constructing a character model of an operation and maintenance worker in the virtual reality scene; acquiring historical experience data of aerial working of the character model, and inputting the historical experience data into a preset risk and injury experience model so as to output weakness information of the operation and maintenance worker; establishing a training policy on the basis of the weakness information of the operation and maintenance worker, and creating a training animation in the virtual reality scene according to the training policy; the character model performing a coping operation on the basis of the training animation, so as to obtain assessment information; and, on the basis of the assessment information, determining a training result of the operation and maintenance worker. Simulating falls from heights by means of virtual reality allows operation and maintenance workers to experience risks and injuries of accidental falls during aerial working without limitations of time and space, thus improving training efficiency and safety awareness.

The invention discloses a building construction safety intelligent management method based on multi-dimensional data analysis, and the method comprises the following steps: S1, building a safety management information system, configuring data analysis software, and inputting the basic information of a construction site and the information of operators into the system; s2, regularly and comprehensively analyzing the potential safety hazard rate, the potential safety hazard thermodynamic diagram, the potential hazard occurrence time period and the violation operation histogram, and formulating safety management measures and adjusting the safety management measures according to an analysis result; and S3, building a safety education platform, and combining learning resources provided by the safety education platform with a plurality of safety education cards. According to the invention, the potential safety hazards existing in the construction site can be accurately identified, efficiently managed and prevented, and the overall efficiency of safety management is improved; and learning resources provided by the safety education platform are combined with a plurality of safety education cards, so that the safety awareness of operators is enhanced, and the occurrence of safety accidents on the construction site is fundamentally reduced.

The invention discloses a reinforcement learning traffic signal control method based on safety consciousness aggregation. The method comprises the following steps: constructing a model; the method for training the model comprises the following steps of: 1, acquiring historical state information; 2, updating a first module, wherein the first module comprises a state encoder, an action-state encoder, an overflow encoder and a waiting encoder; 3, updating a second module, wherein the second module comprises an actor network, a reward criminator network, an overflow cost criminator network and a waiting time criminator network; 4, repeating the step 1 to the step 3 until a preset number of times is exceeded, and obtaining a trained model; and obtaining observation information at the current moment, and inputting the observation information at the current moment into the trained actor network to obtain a current action so as to control a traffic signal. According to the method, the safety is integrated into three aspects of environment interaction, state representation and strategy learning, so that the traffic safety is improved.

The invention discloses a process safety management system enabling training system, and relates to the technical field of process safety management. The system specifically comprises a safety training management module, a training mode making module, a targeted safety training module, a frequent safety training module, a training recording and evaluation module, an employee post capability determination module and a daily safety training education module. The process safety management system can prevent accidents and reduce risks, the process safety management system is enabled to be a training system, the safety awareness and the operation skills of the employees are effectively improved, safety production standardization work is better promoted, and an implementation guidance scheme is provided; more resources are saved for enterprises, the operation management cost of the enterprises is reduced, and many contradictions and problems caused by respective establishment and operation of multiple sets of systems are avoided.

The invention discloses a supervision and management method for construction operation and a pre-class education supervision system, and relates to the technical field of data processing. Firstly, learning videos corresponding to all construction workers in the supervision and management system are obtained through matching, and then progress data in learning hosts of all the construction workers are analyzed, so that the safety awareness of the construction workers can be evaluated; and then the safety data of each construction work subordinate sub-region and the behavior characteristic data of each construction worker are analyzed, so that the pre-class education learning effect of the construction worker in the actual work process can be analyzed, potential safety hazards can be identified, the working strategy can be adjusted in time, the accident risk is reduced, and the working efficiency is improved. And finally, comprehensively analyzing to obtain a learning effect evaluation value of the supervision and management method for the construction operation, and further adjusting the supervision and management method, so that the management process can be continuously optimized, and the safety awareness of construction personnel is further improved.

The systems and methods disclose an automated effective template generation and recommendation for selection. A semantic similarity of a plurality of messages may be identified that at least meets a similarity threshold, each of the plurality of messages reported by a plurality of users as a potentially malicious message. The plurality of messages may be indexed under a common template identifier. One or more messages of the plurality of messages indexed under the common template identifier may be determined to have a report-to-reach ratio less than a report-to-reach threshold. Responsive to the determination, the one or more messages may be identified to be used for generating one or more simulated phishing templates. A recommendation of the one or more templates may be provided to a system administrator and / or a security awareness and simulation training platform to create and deliver simulated phishing messages using the templates.

The invention discloses a building safety education training system based on interactive experience, relates to the technical field of construction site safety education, and aims to solve the problems that traditional building worker safety education lacks pertinence and is difficult to meet specific safety requirements of various types of work, and the teaching mode is relatively single. The system comprises a database, a personalized learning recommendation module, an interactive learning module and a learning progress and achievement tracking module. The database is used for pre-storing safety knowledge of various construction work types; the personalized learning recommendation module is used for screening and recommending learning content suitable for the worker from a pre-stored database covering safety knowledge of various construction work types according to the work type information and learning history of the construction worker, and the learning content comprises a document and a video course. The method has the advantages that precise education content conforming to the work type and the knowledge level of each worker is provided for the worker, and the safety awareness and the skill level of the building worker are improved.

The invention discloses a social engineering self-adaptive dynamic protection method based on post risk assessment, relates to the technical field of network security, and solves the problem that in the prior art, the aspects of employee security awareness modeling, multi-modal data fusion and personalized security policy recommendation still have obvious deficiencies. The method comprises the following steps: firstly, constructing an electric power post knowledge graph, and carrying out structured modeling on four entities of posts, permissions, assets and vulnerabilities and association relationships thereof to form a global semantic network; secondly, a post risk baseline model is established, a normal behavior mode is defined by quantifying inherent risks of posts and analyzing historical operation logs, and a static and dynamic combined risk reference is formed; and finally, designing a post exclusive feature extractor, fusing personal behavior data of the employees with semantic constraints and risk baselines of the knowledge graph, and generating highly personalized feature vectors, thereby laying a foundation for subsequent real-time monitoring of abnormal behaviors of the employees, quantification of safety consciousness and providing of differentiated protection.

The invention relates to an intelligent AI multi-mode dialogue interaction display system applied to the field of electronic digital data processing, an interaction auxiliary terminal integrating a plurality of interaction modes is innovatively arranged, an online login-free use mode is provided for dialogue interaction between a user and an intelligent AI terminal, and on the basis that the use of young users is not influenced, the user experience is improved. The intelligent AI terminal provides great use convenience for the elderly user, when a communication barrier exists between a user with a nonstandard language and the intelligent AI terminal, the intelligent AI terminal can read information such as a user native place in the interaction auxiliary terminal, and an online user in the same region is remotely connected to the user, so that the user replaces the intelligent AI terminal to answer questions for the user, and the user experience is improved. The communication quality of the elderly user and the intelligent AI terminal is effectively improved, in addition, in the remote connection process, in combination with the sound insulation confidentiality means and the privacy detection means of the interaction auxiliary terminal, the privacy information of the elderly user with weak safety awareness is not easily obtained by surrounding personnel or remote personnel.

The invention discloses a safety tool comprehensive training operation system based on a VR technology, and the system can simulate a plurality of real accident situations, and allows students to observe and experience the whole process of sudden accidents in a virtual environment. Through the immersive accident simulation, students can deeply understand dangers possibly caused by wrong operations or nonstandard behaviors, so that the safety awareness of the students is enhanced, and the sensitivity to potential risks is formed. And in the virtual scene, the trainee can repeatedly perform high-risk operation training without worrying about equipment damage or personnel safety problems. The repeatable operation training enables students to be more confident when mastering high-risk operation, and ensures that the students can easily deal with various complex conditions in a real working environment.

The invention discloses an electric power safety knowledge testing method based on a large language model and enhanced retrieval generation. The method mainly comprises the steps of constructing a vector knowledge base, constructing a dynamic interaction generation workflow framework driven by a multi-role large language model, performing safety knowledge testing and quantifying the electric power operation safety awareness of a user. According to the invention, the problem with high scene adaptation degree can be dynamically generated in combination with the scene of the operation work order and the user interaction result, so that the test problem accuracy is improved; the quality of test content is improved through cooperative work of a multi-role large language model and in combination with an enhanced retrieval generation module; a dynamic adjustment strategy is implemented according to a user feedback mechanism, so that knowledge blind spots of the user can be effectively identified; the safety awareness of the user is quantified, targeted consolidation is carried out, and the electric power safety knowledge level of the user is improved.

The invention relates to the technical field of electric power operation and maintenance, and particularly discloses an intelligent safety monitoring system applied to inspection operation of a thermal power plant, which comprises an inspection environment monitoring module, a personnel positioning monitoring module, an emergency alarm response module, a task information docking module, an inspection data management module and a human health monitoring module, the inspection environment monitoring module is responsible for monitoring and managing environmental factors inside and outside a thermal power plant, the personnel positioning and monitoring module is used for ensuring safety and effective management of inspection personnel in a working period, and the emergency alarm response module is responsible for quickly responding and taking countermeasures when an emergency or a safety risk occurs; the equipment operation state and environmental conditions are monitored in real time, potential safety hazards and abnormal conditions are found in time, the possibility of accidents is reduced, more scientific preventive strategies can be implemented by means of collected inspection data and historical analysis, and the safety consciousness and behavioral specifications of inspection personnel are cultivated.

The invention discloses a dangerous operation safety monitoring and early warning method and system, and relates to the field of AI intelligent identification, and the method comprises the steps: monitoring an operation site in real time through the autonomous learning of an employee, the installation of a network server and a mobile AI camera, and carrying out the data collection; screening and finely marking the collected data, carrying out model training, and improving the accuracy and recall rate through cross validation; through the application of the AI camera, a sound production field operation supervision method is established, violation behaviors are judged, warning and snapshot are carried out, and behaviors which are not corrected in time are sent to supervisors. Through real-time monitoring and intelligent analysis, the safety of a working place is ensured, and the accident occurrence risk is reduced. According to the system, violation behaviors are recognized in time through data acquisition and model training, the safety awareness of employees is enhanced, the supervision efficiency is improved, and therefore an efficient working environment is created.

The invention belongs to the technical field of construction, and aims to solve the problems that an existing construction safety training mode lacks reality and interactivity, a safety early warning rule is single and lacks association with a training link, and a training effect evaluation mode cannot comprehensively and accurately evaluate the ability of constructors. Therefore, the invention provides a construction safety early warning training system based on a BIM building information model, and the system comprises a data management module which sequentially collects, preprocesses and stores multi-source data; the BIM model processing module is used for carrying out lightweight processing on model data, constructing a model and updating the model in real time; the VR training scene generation module creates a virtual construction site and interacts with a user; the safety early warning module sets an early warning rule and sends a prompt to the VR training scene generation module; and the training effect evaluation module evaluates training based on the training effect evaluation model. The reality sense and interactivity of construction safety training can be improved, potential safety hazards can be found more accurately, the ability of constructors can be evaluated more accurately, and the safety awareness of the constructors can be continuously improved.

The invention discloses a safe operation capability assessment method and system based on a multi-dimensional portrait, and relates to the field of operation capability assessment. The reliability of an assessment result is ensured through a multi-stage verification mechanism: a current operation video is input into a final operation specification degree mapping model for preliminary assessment; if the result is lower than the threshold value, triggering a subsequent process to carry out secondary evaluation; otherwise, the operator is required to work repeatedly and assess again; in the subsequent process, the error probability of the operator is calculated and compared with the non-standard proportion, so that the influence of external factors is eliminated, the safety awareness and capability of the operator are verified, and misjudgment caused by a single evaluation error is avoided; after an operator passes multiple rounds of verification, the system automatically judges that the safety capability of the operator reaches the standard, additional education is not needed, the management efficiency is remarkably improved, and meanwhile manpower resource waste caused by repeated training is reduced.

Systems and methods are described for recommendation of one or more security awareness workflows are described. One or more security awareness workflows may be deployed to deliver one or more remedial responses to one or more users in response to detection of one or more actions of the one or more users. An effectiveness of the one or more security awareness workflows are assessed and based at least on the assessment, one or more effectiveness metrics for the one or more security awareness workflows are determined. The one or more effectiveness metrics may represent the effectiveness of the one or more security awareness workflows. Based at least on the one or more effectiveness metrics, a recommendation of one or more security awareness workflow configurations may be identified.

The invention discloses a data processing method and device for VR interactive training of a cross-country container forklift. The method comprises the steps that VR interactive training data information of a user is acquired; the user VR interactive training data information comprises an action data set and an expression data set; processing the action data set to obtain a user action evaluation result; processing the expression data set to obtain a user emotion evaluation result; and according to the user action evaluation result and the user emotion evaluation result, performing personalized training suggestion and training content dynamic adjustment on the VR interactive training system. According to the invention, through efficient acquisition, deep processing and intelligent analysis of multi-dimensional data generated in the training process, the forklift driving operation level and safety awareness of trainees are accurately evaluated, the training result is fed back in real time, and the training strategy is dynamically adjusted, so that the quality and efficiency of the forklift driving VR interactive training are improved, and the training experience is improved. And the actual training cost and the safety risk are reduced.

A computer-implemented method of generating security awareness training samples may include receiving, structuring and storing information about a user of an organization into an organization knowledge base and selecting and fetching at least one training template, each including an electronic message template and a prompt template for a large language model. The prompt template(s) and the electronic message template(s) may then be specialized using the information about users of the organization stored in the organization knowledge base. The specialized prompt template(s) may then be submitted to a large language model artificial intelligence system. Textual content may then be received from the large language model responsive to each submitted specialized prompt template. A security awareness training sample may then be generated for each submitted specialized prompt template using the corresponding generated textual content received from the large language model and the corresponding specialized electronic message template(s).

The application discloses a safety education content pushing system and method for a construction site, and belongs to the technical field of safety education of the construction site. The safety education content pushing system comprises the following steps: listing education materials in a tree structure to generate a safety education library, and creating at least one dimension of identification tags for each education material to obtain an identification tag set; performing real-name authentication and numbering on workers to create work information files about the workers; creating a priority pushing model, obtaining pushing keywords required by the workers based on the work information files; mapping the pushing keywords to the identification tag set, matching identification tags having a mapping relationship with the pushing keywords in the identification tag set to obtain a temporary tag set; calling education materials corresponding to the temporary tag set in the safety education library to obtain to-be-pushed education materials, and pushing the to-be-pushed education materials to corresponding workers. The safety education content pushing system achieves efficient and high-precision education content pushing effect based on safety awareness and safety behaviors of the workers, greatly reduces learning time of the workers, and can also make up for part of defects of the workers.

The invention discloses a mail phishing test method and device, equipment and a storage medium. The method is applied to a phishing test system and comprises the steps that test configuration parameters used for configuring a phishing mail are received, a phishing test mail is configured according to the test configuration parameters, and the test configuration parameters comprise a test user group, a phishing domain name, a phishing page and a mail template; sending the phishing test mail to an office mailbox of a test object in the test user group, so that the test object performs a mail phishing test through the office mailbox, and collecting phishing test data fed back by the office mailbox; and generating a test analysis report of the mail phishing test according to the phishing test data. Multi-dimensional fishing test data are collected in real time, multi-dimensional analysis data are obtained, and the safety awareness of personnel is analyzed in various display forms from multiple aspects.

A system is provided.SOLUTION: A system for automatically generating security enlightenment content on the Internet, comprising: means for a user to input generation requirements; means for a server to receive and analyze the input requirements; means for selecting and activating a generative AI model based on the generation requirements; means for generating required text, images, and sounds by the generative AI model to create content; means for verifying and, if necessary, optimizing the generated content; means for sending the optimized content to the user; means for performing regeneration based on user feedback; and means for delivering the generated content.SELECTED DRAWING: Figure 1

To improve the safety consciousness of a user and to support the safe use of the sea by accurately providing prediction information of a sea off-shore current in real time.SOLUTION: A system for providing a sea off-shore current prediction service, includes: means for collecting real-time ocean data; means for utilizing an AI model; and means for providing prediction information to a user.SELECTED DRAWING: Figure 1

The present invention relates to the field of safety monitoring technology, and in particular to an intelligent management system for safe operation in a confined space, comprising a device body and a controller, wherein the controller comprises: an infrared sensing module: used to sense whether an operator is approaching; a voice broadcast module: used to voice broadcast a preset first alarm prompt message; a recording module: used to start a recording device to collect environmental audio data when sensing that an operator is approaching; a face recognition module: used to perform face recognition on the sensed operator; a real-time monitoring management module: used to obtain environmental gas data of a confined space in real time, and to organize environmental audio data, environmental gas data, face recognition data, entry confirmation information and exit confirmation information as work record data. The present invention can avoid the occurrence of safety accidents in confined space operations, ensure the personal safety of operators, enhance the safety awareness of operators, and can always provide safety reminders and warnings to operators.

The embodiment of the invention discloses a safety management system, and relates to the technical field of safety management, and the system comprises a safety standardization module and a safety situation module. The safety standardization module comprises a target responsibility sub-module, a institution management sub-module, an educational training sub-module, a field management sub-module, a dual prevention mechanism sub-module, an emergency management sub-module, an accident management sub-module and a continuous improvement sub-module; and the security situation module comprises a statistical analysis sub-module and a security portrait sub-module. Through digital and intelligent means, the safety management level of the water affair industry is comprehensively improved, the risk prevention and control capability is enhanced, the implementation of responsibility is promoted, the emergency response speed is increased, continuous improvement and optimization are promoted, the safety awareness and skills of staff are improved, and the safety of the water affair industry is improved. The problems that in the prior art, responsibility is unknown, information is not smooth, hidden danger checking is not thorough, an accident tracking rectification mechanism is lacked, and the digital and intelligent level is not high are solved.

The invention relates to the technical field of electric power information processing, in particular to an electric power work site ticket face violation data intelligent processing system which comprises an information acquisition module, a site data acquisition module, a data storage module, a data analysis module, a terminal identification module and a terminal display module. The method comprises the steps of obtaining a violation set, calculating a set frequency based on the number of elements in the violation set, performing position arrangement on the set frequency, determining key regulations, obtaining historical violation behaviors of an operator, calculating a working coefficient, determining a data signal based on the working coefficient, and determining field warning information of a target analyst according to the data signal. According to the technical scheme of the utility model, the operator entering the field in real time is identified, and the corresponding field warning information is obtained and displayed in the terminal display module, so that the operator entering the electric power operation field is reminded of safety in real time, and the safety awareness of the operator is enhanced.

The invention discloses a personnel factory entry comprehensive application management system and a use method thereof, and relates to the technical field of safety production management, and the system comprises a qualification examination management module, a three-level safety education module, and a risk management and control module. The qualification review management module comprises a personnel identity checking unit, a special operation certificate query unit, an outsourcing personnel guarantee state unit and a contract information state maintenance unit; the third-level safety education module comprises a training education unit and an education examination unit; the risk management and control module comprises an operation risk assessment unit, a personnel early warning unit and an operation area warning unit; according to the method provided by the invention, through the qualification examination management module, rapid examination of the qualification of the outsourcing personnel is realized, and the examination accuracy and efficiency are improved; through the three-level safety education module, the safety consciousness and the precaution capability of the overall outsourcing personnel are improved; and through the risk management and control module, unsafe behaviors of personnel and risk factors in an operation environment are warned, and potential accidents are effectively prevented.