48 results about "Digital security" patented technology

The present disclosure provides techniques for identification of potential illicit activities (e.g., crimes) and / or abnormalities in large datasets. The techniques fuse data from various sources to purge normal records, analyze records using digital detective models, identify and utilize network-sequencing-chains to collect and process records, and generate reports (e.g., civic profile(s)) from the output of the digital detective models. The techniques comprise receiving data from data sources (e.g., government entities), pre-processing the data to determine records indicating illicit or abnormal behavior, determining crime types, inputting profiles into machine learning models trained to flag potential crimes, and generating encrypted data objects based on the output for review by authorized personnel. Robust security measures such as mission lock enforcement, quorum-governed privilege systems, and self-destruct capabilities may provide a digital security architecture to protect sensitive data and ensure system security.

The invention relates to the technical field of data processing, and particularly discloses a campus safety management method and system based on a smart campus. The system comprises a data perception fusion layer, a block chain evidence storage layer, an intelligent analysis decision-making layer and a co-processing execution layer, and through multi-source data acquisition, block chain credible evidence storage, intelligent event analysis and responsibility initial judgment, and cross-department task collaboration and closed-loop processing, full-process digital security management is realized. And the tracing efficiency, the evidence credibility and the management cooperation capability of the campus security events are improved.

Provided are methods, systems, and devices for financial risk assessment and digital security enhancement. This includes receiving, at the host processor via the computing network, a plurality of input signals from a plurality of primary systems, the input signals corresponding to a client identifier to generate a corresponding first record; analyzing the corresponding first record, to extract a corresponding second record by implementing a plurality of predefined tags and generating a categorized record; receiving physical asset signals, associated to the client identifier, from an external asset system; generating a qualifier score based on a predictive algorithm applied to the categorized record and the physical asset signals, the predictive algorithm assigning weights to the plurality of data categories in the categorized record; and determining whether the qualifier score meets a one or more threshold range.

The invention relates to the technical field of data security storage and transmission, and discloses a device, a system and a method for digital security certification, a high-quality time sequence feature set is constructed through data scene association mapping and feature enhancement, a foundation is laid for risk assessment and strategy adaptation, a multi-dimensional risk factor coupling assessment system is constructed, and the risk assessment efficiency is improved. The method comprises the following steps: firstly, carrying out security management and control on target transfer data, realizing accurate judgment of a scenarized risk level, matching and identifying a transfer type based on transfer demand features, dynamically outputting adaptive encryption strategy parameters, and executing split storage in combination with a transfer node security adaptation index to complete security management and control of the target transfer data. Therefore, the dynamic adaptation of the transfer scene and the data security policy is realized, the problems of under-protection and over-protection of the traditional method are solved, the authentication security and transmission efficiency during data transfer are balanced, the adaptive ability and control accuracy under the complex transfer scene are improved, and the security of the transfer scene is improved. And a more scientific and practical security authentication solution is provided for diversified circulation scenes.

A computer-implemented method for a digital security system receives unlabeled event data associated with a computing environment, clusters via an unsupervised machine learning model the unlabeled event data into clusters of unlabeled event data where unlabeled event data in one cluster are more similar to each other than to unlabeled event data in other clusters, selects a respective subset of unlabeled event data for each cluster of unlabeled event data, translates via a large language model artificial neural network each unlabeled event datum in each respective subset of unlabeled event data into a description for the unlabeled event datum, and applies a label via a labeling algorithm to at least one unlabeled event datum in a respective cluster responsive to and representative of the respective description for the unlabeled event datum in the respective subset, thereby transforming the at least one unlabeled event datum to a labeled event datum.

The invention discloses a multi-level risk management and control digital safety monitoring management method. The method comprises the following steps: firstly, collecting system and supervision index data and determining a risk level; secondly, extracting supervision historical data to form an operation sequence, converting the operation sequence into a dynamic directed graph, constructing a cause and effect graph model to output a baseline, and setting a threshold value; triggering deep temporary verification according to different levels of user super-operation times, detecting an artifact attack, and closing a session and performing early warning if an exception occurs; after verification is passed, behavior and supervision features are captured at the key business process node for secondary authority authentication; after the authentication is passed, performing short-time dynamic authorization and recording changes; according to the scheme, through acquisition of insurance data hierarchical management and control, a model is constructed in combination with historical operation to identify abnormity, attack is blocked by using a dynamic threshold value and deep verification, risks are prevented and controlled through secondary authentication of key nodes, short-time dynamic authorization gives consideration to flexibility and security, the real-time defense capability of a system for sensitive data leakage and other risks is improved, the false alarm rate is reduced, and the safety of the system is improved. And a full-life-cycle intelligent safety protection system is formed.

The application relates to the technical field of digital security management of assets, and discloses a digital security management system and method, which extracts to-be-scanned asset identification and scanning strategies by analyzing a digital security scanning task, considers network bandwidth and scanning result data warehousing queues of a scanning engine performing scanning, combines asset risk attributes, scanning features and system resource constraints, generates a digital security management strategy, and further controls scanning and data warehousing actions performed by the scanning engine. Thus, the application realizes accurate matching of scanning frequency and asset risk through a dynamic risk assessment mechanism, avoids the complexity and subjective bias of traditional manual strategy setting, comprehensively considers global system resource restrictions such as scanning engine load, network bandwidth and data warehousing queues, optimizes scanning task scheduling, completely solves the resource competition problem that is prone to occurring in traditional scanning, avoids system performance bottlenecks, and significantly improves scanning efficiency and the timeliness of security assessment.

Provided herein are systems, methods, and non-transient computer-readable storage media for providing contextualized responses using a virtual coworker within an email account. The disclosed techniques access an email thread, set a conversation context window to encompass the entire email thread, identify contextually relevant keywords within the subject line and email body, and search the email account for related email messages. A context library is created, comprising the email message and related email messages found in the email account. A response is generated based on user input derived from the context library, using a combination of prompts derived from natural language analysis and pre-programmed prompts. Additional features include analyzing the context library to define user input, engineering the initial prompt for the response, incorporating a knowledge base, reading attachments, and implementing digital security measures.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing machine-learning models to determine take-over scores and intelligently provide or limit access to account features. In particular, in one or more embodiments, the disclosed systems can train and utilize digital security machine-learning models to generate a take-over score indicating a likelihood that the request to access the secure digital account is unauthorized activity. Based on the determining that the take-over score satisfies a take-over threshold, the disclosed systems can allow access to the secure digital account by providing secure account information but prohibit access to a subset of account features.

The invention relates to the technical field of digital security, in particular to a data security behavior auditing method and system based on a field classification adapter. The data security behavior auditing method comprises the following steps: acquiring and processing a document operation log of a terminal; based on a field classification adapter, performing multi-layer progressive classification processing on the document operation logs to obtain classification results of different dimensions; fusing the classification results of different dimensions to obtain a multi-dimensional classification label of the document operation log; and establishing and storing a mapping relationship between the document operation log and the multi-dimensional classification tag thereof. And for classification processing of each dimension, classification is started from the processing layer with the lowest calculation complexity, and classification is performed on the processing layers with higher calculation complexity in sequence if classification fails. Most of conventional and simple document operation log classifications are quickly filtered, a small number of complex document operation logs are transmitted to a processing layer with high calculation complexity to be processed, and batch document operation logs can be processed at low average cost.

A computer-implemented system for cryptographically authenticated state synchronization within a distributed ledger uses a digital synchronization agent to irrevocably and synchronously transfer digital security positions and corresponding digital fiat instruments between digital instrument containers. A deterministic supervisory verification framework redundantly executes verification of transfer requests using a quorum of nodes, distributing trust across the network. The system generates priority timestamps using a deterministic consensus protocol that excludes mining operations, proof-of-work operations, and probabilistic finality mechanisms. The system appends the priority timestamps to transfer operations based on consensus, generating immutable execution paths with sub-threshold latency. The system synchronizes digital security position states in real-time with digital fiat instrument states, preventing deferred state synchronization.

The application discloses a kind of bidding data security dynamic characteristic code generation method and system, comprising: receiving bidding document search request, extract file core data and real-time state information, construct structured data set;Multi-modal feature extraction is carried out to structured data, call pre-training natural language processing model to generate content semantic vector, calculate behavior risk value by behavior anomaly detection model, generate time feature vector by time stamp coding;According to the weight distribution function dynamically calculated according to behavior risk value, the content semantic vector, behavior risk value and time feature vector are weighted and fused to generate a fusion feature vector;The fusion feature vector is serialized, and the fixed-length bidding data security dynamic characteristic code is generated by the cryptography hash function.The application can improve the security protection capability of bidding data and the accurate identification capability of access behavior, and provide technical support for the digital security management of bidding business.

A method of processing encrypted image watermarking, an apparatus and a display device are provided, which relates to the field of digital watermarking. The method includes: obtaining a device code of a display device and current time information, where the device code uniquely identifies the display device; generating, according to a preset encryption algorithm by using the current time information and the device code, a digital security mark; and displaying the digital security mark in a preset display area of the display device. The technical solution of the present disclosure can prevent the screen from being photographed without permission.

The invention discloses a digital car key state collaborative management system and method based on a distributed synchronization engine, and relates to the technical field of car networking and digital security. The method aims to solve the technical problems that a traditional digital car key system is high in state synchronization delay, off-line conflicts are difficult to resolve, and safety verification is redundant. According to the system, through difference bitmap coding, a distributed version coordination algorithm and a layered security verification architecture, real-time coordination and security management of key states among multiple terminals and multiple vehicle nodes are realized. Specifically, the key state is mapped into a 256-dimensional Boolean vector space, and the data transmission quantity is reduced by adopting an increment synchronization mode; through vector clock comparison and an operation merging strategy, conflict automatic resolution in an off-line scene is realized. By means of layered signature verification and a hardware security module, the encryption operation overhead is reduced while the security is guaranteed.

The present application relates to the technical field of power grid safety risk early warning, and relates to a power grid digital safety risk dynamic early warning system based on a deep learning algorithm, which is modularly designed through a voltage atlas acquisition module, a voltage deviation calculation module, a voltage risk quantification module, and a power grid safety early warning module, and realizes efficient monitoring, analysis and management of power grid voltage fluctuations. The construction of this system not only improves the scientificity and timeliness of power grid safety management, but also lays an important technical foundation for the intelligentization and modernization of power grids, and has indispensable importance for ensuring the safety, stability and sustainable operation of power grids.

A distributed security system can include instances of a compute engine that can execute either locally in security agents on client devices or as cloud instances in a security network. Event data can be processed by elements of the distributed security system according to centrally-defined ontological definitions and / or configurations. Bounding managers of local security agents can control how much event data is sent to the security network. A storage engine in the security network can store event data received from client devices, can route event data to other elements of the security network, including cloud instances of the compute engine. An experimentation engine of the security network can also at least temporarily adjust other elements of the distributed security system during experiments or tests.

A digital calibration certificate (DCC) generation and verification method and system based on microservices architecture includes: a user subsystem configured to acquire DCC content information and transmit a DCC generation and verification result to a user; a service subsystem configured to provide an access service and acquire calibration business data based on the DCC content information; a processing subsystem configured to generate a DCC based on the DCC content information and the calibration business data and verify the DCC, and obtain the DCC generation and verification result; a digital security subsystem configured to authenticate the user subsystem through the service subsystem and provide a digital signature and a trusted timestamp to the processing subsystem; and a storage subsystem configured to store information and data during processing and provide corresponding information and data to the processing subsystem.

The invention relates to the technical field of digital security hardware, in particular to secret key storage equipment and a control method thereof, and the secret key storage equipment comprises an optical isolation offline character recognition module, a biological fusing storage module, a three-factor verification unit, an epoxy self-destruction structure and a main control module, the optical isolation off-line character recognition module collects external memorizing word information, converts the information into encrypted data and transmits the encrypted data to the main control module, the biological fusing storage module writes user fingerprint and iris data and permanently fuses the rewriting circuit after receiving a first activation signal, and the three-factor verification unit receives verification information and generates a verification signal. The main control module controls the biological fusing storage module to output secret key data or keep locked according to the verification signal, the epoxy self-destruction structure monitors the equipment dismounting attempt and generates a state signal, and the abnormal signal triggers the equipment to expand, solidify and damage the biological fusing storage module. According to the invention, through multi-factor verification and biological fusing, in combination with a self-destruction mechanism and a security transfer design, high-security storage and controllable ownership change of the secret key are realized.

The invention relates to the technical field of digital public security management, in particular to a public security management system and method based on digitization, and aims to solve the technical problems of insufficient pertinence of monitoring deployment, low path prediction accuracy and interception failure in a fault state in the prior art. According to the technical scheme, the method comprises the steps that a directed weighted graph model fusing road environment characteristics is constructed, a path impedance value is dynamically adjusted through iterative site selection calculation, and a target object track is induced to converge to a preset interception area; executing equipment fault simulation based on Monte Carlo simulation, and identifying common cross nodes in a fault state; and generating a dynamic position complementing plan aiming at the node, and adjusting model parameters through real-time feedback. According to the method, optimal configuration and fault redundancy defense of monitoring resources are realized, the accuracy and robustness of public security interception are improved, and the method is suitable for scenes such as prevention and control of urban key areas.

This utility model relates to microprocessor technology, biometric identification systems, and embedded intelligent devices designed for automatic personal recognition based on multiple biometric characteristics. The proposed utility model is a multimodal microprocessor-based biometric identification device comprising a fingerprint scanner, a voice identification module, a microprocessor computing module, a memory module, a neural network data processing unit, a decision-making unit, a communication interface, and a power source. A distinctive feature of the utility model is its use of a unified microprocessor architecture, enabling local intelligent processing of multiple biometric modalities without the need to transmit data to external computing servers.The microprocessor computing module collects, digitally filters, extracts features, analyzes, and compares user biometric data with templates stored in the device's memory. Fingerprints and voice characteristics are used as biometric features. Combined processing of multiple biometric parameters improves identification accuracy, reduces the likelihood of false positives and false negatives, and enhances the system's resilience to external influences and noise. The technical result of this utility model is increased reliability, speed, and autonomy of biometric identification through the use of integrated microprocessor processing of multimodal biometric data and recognition algorithms.The utility model can be used in access control and management systems, banking and financial systems, mobile devices, medical information systems, critical infrastructure facilities, government personal identification systems, and intelligent IoT systems. The proposed device is compact, capable of autonomous operation, offers high data processing speeds, and can be integrated into modern digital security systems.

The invention discloses a laboratory digital safety workspace management method, system and device based on trusted computing and a medium, and belongs to the technical field of laboratory information safety management, and the method comprises the steps: measuring a starting chain through trusted hardware, uploading a measurement value after verification, completing multi-factor authentication and encryption channel establishment, and carrying out strategy conformity check; creating a resource isolated working space, loading a security policy in real time, and monitoring user behaviors and peripheral access; carrying out enhanced authentication and encryption verification transmission; and generating a tamper-proof chained auditing log, and automatically starting hierarchical response and joint treatment based on the log and a monitoring result to form a traceable responsibility judgment link. According to the invention, the operation environment of the terminal system is ensured to be credible based on the trusted computing root, multi-task isolation and data leakage prevention are realized by adopting a containerized digital workspace, authority control is implemented through an identity and task adaptive security policy, and the security event response capability and operation traceability are improved by means of real-time monitoring and auditing a log library.

The application relates to the field of digital security, and particularly relates to a nuclear power digital safety control system, which comprises a communication module, a classification module, an identity authentication module and a nuclear power equipment management module; the communication module is used for receiving and sending information with a client; the classification module is used for judging a user category corresponding to the client according to an identity; the identity authentication module is used for determining an identity authentication mode corresponding to an identity authentication request according to the user category, performing identity authentication on the identity authentication request according to the identity authentication mode, and generating identity authentication reply information; and the nuclear power equipment management module is used for sending a control instruction to a nuclear power plant equipment through a nuclear power control station according to a nuclear power production control request when the identity authentication is passed, and generating control reply information according to information returned by the nuclear power control station. The nuclear power digital safety control system greatly improves the safety level, and effectively prevents the risks of unauthorized access and malicious attacks.

The invention discloses a bidding and tendering data security dynamic feature code generation method and system, and the method comprises the steps: receiving a bidding and tendering file retrieval request, extracting file core data and real-time state information, and constructing a structured data set; performing multi-modal feature extraction on the structured data, calling a pre-training natural language processing model to generate a content semantic vector, calculating a behavior risk value through a behavior anomaly detection model, and encoding a timestamp to generate a time feature vector; dynamically calculating a weight distribution function according to the behavior risk value, and performing weighted fusion on the content semantic vector, the behavior risk value and the time feature vector to generate a fusion feature vector; and performing serialization processing on the fused feature vector, and generating a fixed-length bidding and tendering data security dynamic feature code through a cryptographic hash function. According to the method, the security protection capability of bidding data and the accurate identification capability of access behaviors can be improved, and technical support is provided for digital security management of bidding services.

The present disclosure provides techniques for identification of potential illicit activities (e.g., crimes) and / or abnormalities in large datasets. The techniques fuse data from various sources to purge normal records, analyze records using digital detective models, identify and utilize network-sequencing-chains to collect and process records, and generate reports (e.g., civic profile(s)) from the output of the digital detective models. The techniques comprise receiving data from data sources (e.g., government entities), pre-processing the data to determine records indicating illicit or abnormal behavior, determining crime types, inputting profiles into machine learning models trained to flag potential crimes, and generating encrypted data objects based on the output for review by authorized personnel. Robust security measures such as mission lock enforcement, quorum-governed privilege systems, and self-destruct capabilities may provide a digital security architecture to protect sensitive data and ensure system security.

The present disclosure provides techniques for identification of potential illicit activities (e.g., crimes) and / or abnormalities in large datasets. The techniques fuse data from various sources to purge normal records, analyze records using digital detective models, identify and utilize network-sequencing-chains to collect and process records, and generate reports (e.g., civic profile(s)) from the output of the digital detective models. The techniques comprise receiving data from data sources (e.g., government entities), pre-processing the data to determine records indicating illicit or abnormal behavior, determining crime types, inputting profiles into machine learning models trained to flag potential crimes, and generating encrypted data objects based on the output for review by authorized personnel. Robust security measures such as mission lock enforcement, quorum-governed privilege systems, and self-destruct capabilities may provide a digital security architecture to protect sensitive data and ensure system security.

The application provides a power grid digital security network early warning method and system. The power grid digital security network early warning method obtains device control instructions, power supply network topology and current power supply state data of a power distribution network, inputs the device control instructions, power supply network topology and current power supply state data into a power grid simulation model to obtain predicted data of the power distribution network, collects power supply state data of the power distribution network after the device control instructions are executed to obtain collected data of the power distribution network, and determines a first early warning strategy of the power grid digital security network according to data differences between the collected data and the predicted data. The application can early warn potential faults or risks when the power distribution network is threatened by network security or has physical system risks, and has the effect of protecting the power distribution network.

A method and system for securing privileged access data via a privileged access security service (PASS) platform may be provided. The method may include obtaining authentication data, providing a web-based UI portal to access a PASS platform upon ascertaining that user credentials are valid, and inputting digital case data into the web-based UI portal. The PASS platform may include an incident management and tracking system and an entitlement control management system. The method may include performing dual operations on the digital case data and generating an ADFS digital security token and a digital functional identifier (FID), and calling an API based on the ADFS digital security token and the digital FID. The method may also include testing the API internally via an API gateway endpoint and cloud APIs without exposing the ADFS digital security token to the user, generating a response based on the testing, and displaying the response.

1. Name of the product in this design: Circuit board (digital security embedded integrated board). 2. Purpose of this design: Circuit board for electronic equipment control. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The system according to the embodiment aims to detect problematic content on the Internet at an early stage and deal with it appropriately. [Solution] A system according to an embodiment includes a monitoring unit, a deletion unit, a support unit, and a provision unit. The monitoring unit monitors information on the Internet. The deletion unit deletes problematic content detected by the monitoring unit. The support unit provides psychological support to victims based on the information deleted by the deletion unit. The provision unit provides digital security information based on the support provided by the support unit.

This invention discloses a method and system for processing archival information based on digital security, relating to the field of digital data processing technology. The method includes the following steps: acquiring the first metadata of the archival information; based on a preset tag system template, using a hierarchical logic combining rule matching and manual review, identifying sensitive and non-sensitive tags in the first metadata; the preset tag system template dynamically iterates through historical sample learning and new tag case verification; for the first metadata corresponding to sensitive tags, differentiated desensitization processing is performed according to the sensitive tags; for the first metadata corresponding to non-sensitive tags, no desensitization processing is performed, and the data is integrated to obtain the second metadata. Through efficient collaboration across three dimensions and a dynamically iterative tag system, the accuracy of identification is improved; hierarchical identification improves efficiency, ensures quality, and reduces costs; differentiated desensitization processing protects security and reduces losses; and integrated metadata facilitates the secure and efficient circulation of archives.