69 results about "Digital security" patented technology

The invention discloses an archive information processing method and system based on digital security, and relates to the technical field of computer application, and the method comprises the following steps: S1, constructing a time sequence consistency profile, and collecting the actual arrival time and the corresponding position index of each archive data fragment, a network jitter fingerprint model reflecting instantaneous delay fluctuation characteristics is generated based on multi-round transmission data; s2, in a data inbound process, injecting a unique position label for each archive data fragment, and enabling the position labels and fragment contents to jointly participate in Hash calculation to generate a content Hash and position Hash parallel dual verification baseline; according to the method, sequence verification and correction are realized by constructing a time sequence consistency profile and a dual Hash mechanism, the Hash collision risk is prevented in combination with disturbance verification, result write-back and model updating are introduced, a closed-loop control link is formed, and the safety, accuracy and traceability of file synchronization are remarkably improved.

A system and method for cybersecurity policy management in a computing environment is presented. The method includes receiving a selection of a first cybersecurity policy of a digital security platform of a computing environment; applying the first cybersecurity policy to generate a first measurement; generating a second cybersecurity policy based on the first cybersecurity policy and a result of the first measurement; applying the second cybersecurity policy to generate a second measurement; generating a third cybersecurity policy based on a result of the second measurement and the second cybersecurity policy; and applying the third cybersecurity policy on the computing environment.

The invention relates to the field of digital security assessment, and discloses a data security compliance risk assessment system, which comprises the steps of automatically retrieving data related to a target industry based on a preset network model, extracting a structured risk factor and an aging identifier of the data, and judging whether an index difference exists or not; performing semantic alignment and difference comparison on the output knowledge fragment and a local risk index, and judging whether the credible score of the risk adjustment suggestion exceeds a set threshold value or not; according to the generated updating suggestion, judging whether the updating result identifies a high-risk item or not; in a virtualized security event simulation environment, based on a multi-dimensional logic deduction algorithm, constructing an attack path corresponding to a high-risk item, simulating a multi-scene risk propagation process, calculating a comprehensive risk index and outputting a deduction result; and based on a deduction result, recording a risk propagation path, forming a verified risk knowledge fragment and feeding back the fragment to a safety compliance evaluation database. The method has the advantage of improving the accuracy of the evaluation result.

The invention discloses a digital security-oriented office system and method, and relates to the technical field of information security and office automation, the digital security-oriented office system comprises a sensing module, a decision module, an execution module, a tracking module and a closed loop module, the sensing module collects login information, performs multi-factor verification, generates security sensing data, and sends the security sensing data to the decision module; the decision-making module compares security perception data with historical login information, divides risk levels and generates an access control decision, the execution module constructs a virtual security sandbox or verifies an access request based on a zero trust principle and generates an authority white list and cooperation timeliness, and the tracking module records an operation behavior and a security log through a block chain. The closed-loop module monitors an office scene in real time and drives data updating and sandbox destroying. According to the method, the whole-process security control of the office scene is realized, the risk is accurately identified, the protection strategy is dynamically adjusted, the high security requirement of cross-organization and internal office is met, and a powerful guarantee is provided for the security of digital office data.

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 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. And efficient monitoring, analysis and management of the voltage fluctuation of the power grid are realized. The construction of the system not only improves the scientificity and timeliness of power grid safety management, but also lays an important technical foundation for intelligentization and modernization of the power grid, and has indispensable importance for guaranteeing the safety, stability and sustainable operation of the power grid.

The application belongs to the technical field of data security, and discloses a defense method and system of an active invisible defense strategy based on artificial intelligence, which comprises the following steps: obtaining to-be-sent data of a sending end; performing sensitive identification on the to-be-sent data based on an artificial intelligence algorithm to obtain sensitive data corresponding to the to-be-sent data; converting the sensitive data based on a data conversion algorithm to obtain similar data; performing semantic confusion on the to-be-sent data by taking the similar data as confusion data based on a confusion algorithm to obtain confused data; randomly selecting an encryption algorithm from a pre-constructed encryption algorithm library, and encrypting the confused data based on the selected encryption algorithm to obtain encrypted data; compressing the encrypted data based on a compression algorithm to obtain compressed data; and sending the compressed data to a receiving end. The to-be-sent data is subjected to confusion, encryption and compression processing, so that the network security information security and digital security can be effectively guaranteed.

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.

To provide a method for securing an object.SOLUTION: A method for securing an object includes: embedding at least two micro transponders (MTPs) into a taggant, a plurality of taggants, a packaging, or the object, or a combination thereof to generate at least one legitimate matched pair, the MTPs each being configured with respective identifiers; indexing the respective identifiers of the MTPs to the object; storing indexing information associated with the MTPs and the object in a database of a digital security system; reading the respective identifiers via an identifier reader; and verifying, on the basis of the reading, the indexing information to determine whether the respective identifiers are associated to the legitimate matched pair.SELECTED DRAWING: None

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 present invention relates to the technical field of security protection. Provided are a digital calibration certificate generation and verification method and system based on a micro-service architecture. The system comprises: a user subsystem, which is used for acquiring digital calibration certificate content information, and transmitting a digital calibration certificate generation and verification result to a user; a service subsystem, which is used for providing an access service, and acquiring calibration service data on the basis of the digital calibration certificate content information; a processing subsystem, which is used for generating a digital calibration certificate on the basis of the digital calibration certificate content information and the calibration service data, and verifying the digital calibration certificate to obtain the digital calibration certificate generation and verification result; a digital security subsystem, which is used for performing authentication on the user subsystem by means of the service subsystem, and providing a digital signature and a trusted timestamp for the processing subsystem; and a storage subsystem, which is used for storing information and data in a processing process, and providing corresponding information and data for the processing subsystem. The present invention solves the problem of it being difficult for a digital calibration certificate to meet a standard requirement.

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 computing system determines that a third party system has been exposed to a digital security violation. The computing system identifies a first user account of a user registered with the computing system that has a corresponding account associated with the third party system. The computing system determines that the first user account has stored a first set of user credentials for the corresponding account associated with the third party system at a storage location accessible by the computing system. The computing system launches a series of web browsers configured to access a first website associated with the third party system. The computing system executes, via a first web browser of the series of web browsers, a first automated script specific to the first website associated with the third party system. The computing system performs at least one of a plurality of remedial operations with respect to the corresponding account.

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 application discloses a kind of digital security intelligent terminal of water affair management.It is based on KVM virtualization bottom layer platform to the next generation software network firewall / log auditing system, data interconnection front system, data edge computing node by fusing communication network architecture, virtualization deployment is carried out, and a set of intensive, fractal full virtualization architecture including VServer virtual host, Vsan virtual storage, Vnet virtual network, Vsafe virtual security interconnection, Vservice virtual service, Vmanage unified virtual management is built.The beneficial effects of the application are: the security communication of edge computing node end to end is realized, reasonable isolation, function duplication, increase capacity, extension range;Reach network layer isolation between services, while improving the security of network in basic communication layer and data application layer;Complete the communication demand of service large architecture isolation, small part intercommunication.

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.

The application discloses a digital content identification method, system, device and storage medium, and relates to the technical field of digital security. The method comprises the following steps: collecting digital content and extracting features respectively, fusing the extracted features into comprehensive features, and training an identification model using the comprehensive features; calling the identification model to identify target digital content and obtaining an identification result; updating parameters of the identification model according to feedback information of the identification result, and / or collecting digital content to continue training the identification model. By collecting multi-modal data and extracting features respectively, fusing the features into comprehensive features, and training the identification model, the efficiency of data processing and model training is ensured. The accuracy and reliability of digital content authenticity identification are improved, the adaptability and generalization ability of the model are improved, the user experience and system performance are optimized, automatic real-time updating and optimization are realized, and an efficient data processing and model training process is constructed.