86 results about "Digital security" patented technology

Embodiments are described herein for document authentication certification using information stored on a distributed ledger such as a blockchain. A distributed ledger may securely store document data describing the document. Use of a distributed ledger may provide an immutable, readily auditable record of the history of the document. Each user participating in the system may be assigned a unique identifier to be used for conducting transactions on the distributed ledger network. A user may also be provided with a digital security token such as a cryptographic key that is useable to authenticate the user and enable access to the document data stored on the distributed ledger(s).

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.

The invention provides a flash encryption method for a security chip, the security chip and electronic equipment, and belongs to the field of digital security, the security chip comprises two flash encryption modules which are connected in parallel, the first flash encryption module carries out encryption and decryption processing on target data of which the values are all '1', and the second flash encryption module carries out encryption and decryption processing on other target data; each flash encryption module is used for encrypting and decrypting target data by using a Feistel structure; dividing the target data into a preset number of groups, encrypting each group by using different round functions, and performing nonlinear transformation on each round function by using different S boxes; and each flash encryption module scrambles the address based on a preset scrambling formula, and stores the encrypted ciphertext based on a scrambling result. The encryption delay can be reduced, the encryption strength is enhanced, and the software and hardware communication cost is reduced.

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.

The invention provides a digital intelligent safety emergency management system and method based on an AI algorithm and cloud computing, and the system comprises an image hidden danger recognition module which is used for recognizing the potential safety hazards in a field image based on a visual analysis technology; the assessment and early warning module is used for analyzing the hidden danger description of the potential safety hazard by using big data analysis and machine learning technologies, obtaining a safety risk assessment result and performing safety early warning; the emergency disposal module is used for providing an intelligent emergency disposal scheme according to the safety risk assessment result; and the intelligent question and answer module is used for performing intelligent question and answer in the emergency disposal process of the user. According to the digital intelligent safety emergency management system and method based on the AI algorithm and cloud computing, the information islanding effect of traditional safety emergency management is broken through, the problem of decision making difficulty is solved, the management efficiency is improved, and the auxiliary manual management process is more intelligent.

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 invention relates to the technical field of safety monitoring, and discloses a digital safety monitoring method and system for a thermal power plant, and the method comprises the steps: obtaining a building drawing of the thermal power plant, so as to create a power plant building model, marking security resources, available paths, guide road signs and risk equipment associated with risk attribute information in the power plant building model; position information, risk attribute information and alarm information of each person are obtained in real time and updated in the power plant building model, and alarm information is generated based on the risk attribute information and the alarm information; determining an action target of the target person based on the alarm information, and matching a corresponding destination point and a preferred path in the power plant building model based on the action target to generate path guidance information and send the path guidance information to the corresponding positioning tag; the method has the effect of optimizing the action path guidance scientificity of the thermal power plant.

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 utility model discloses a digital safety intelligent protection device, and relates to the technical field of photovoltaic water plant safety protection. The digital safety intelligent protection device comprises an energy storage device, a plurality of photovoltaic power generation panels, a rectifier, a switching circuit, an image acquisition device and a central control platform. The photovoltaic power generation panel can convert light energy into electric energy to be stored in the energy storage equipment. The switching circuit can control the on / off of a circuit between the energy storage device and the plurality of electric devices and control the on / off of a circuit between the rectifier and the plurality of electric devices. The image acquisition device can acquire image information of the plurality of photovoltaic power generation panels. The central control platform can detect the voltage state of the energy storage equipment, receive image information, and control the operation of the switching circuit according to the voltage state and the image information of the energy storage equipment. The utility model aims to predict the power generation of a plurality of photovoltaic power generation panels so as to adjust the control strategy of the switching circuit for protection, and can improve the stability and safety of power supply.

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.

Described herein are various methods of generating and using a digital signature, such as a polymorphic digital signature. One or more methods of creating a digital signature permit strings of characters, which may be simple or complex, to uniquely identify large numbers of people, things, and actions. Different people, things, and actions can use the same set of characters to identify themselves and yet still be uniquely identified.

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 invention discloses an anti-counterfeiting mark with ten anti-counterfeiting functions, which comprises texture paper, the texture paper is formed by adding colored fibers, colored particles, digital security lines and windowing security lines in the papermaking process, and a printing layer is arranged on the top surface of the texture paper. The photochromic layer, the thermosensitive color-changing layer, the invisible fluorescent handwritten signature layer, the embossment shading layer, the variable color two-dimensional code layer and the variable color handwritten digital layer are arranged on the printing layer, the surface of the manufactured anti-counterfeiting mark is damaged through a flower cutter, then a mark picture is stored in a database through scanning, and during identification, only the two-dimensional code on the mark needs to be scanned, and then the mark picture is stored in the database. According to the anti-counterfeiting mark, the corresponding picture stored in the database is called, the picture is consistent with the texture feature and the physical feature on the real object to be a genuine object, the authenticity can also be identified through photochromic, thermochromic, invisible fluorescent handwritten signature and embossment shading features, and after ten anti-counterfeiting measures are set, the anti-counterfeiting performance and the imitation difficulty of the anti-counterfeiting mark are improved.

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.

Described herein are various methods of generating and using a digital signature, such as a polymorphic digital signature. One or more methods of creating a digital signature permit strings of characters, which may be simple or complex, to uniquely identify large numbers of people, things, and actions. Different people, things, and actions can use the same set of characters to identify themselves and yet still be uniquely identified.

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.