120 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 is applicable to the technical field of satellite navigation, and particularly relates to a high-precision GNSS positioning navigation system and method for Beidou communication navigation, and the system comprises a satellite navigation positioning module, a processor module, a security module, an RTC module, a storage module, a PMIC module and an external interface module. According to the high-precision GNSS positioning navigation system for Beidou communication navigation provided by the invention, the security module is embedded in the satellite positioning module and matched with a corresponding algorithm, so that real-time data security monitoring is realized, the security and reliability of satellite navigation positioning data can be effectively enhanced, and the process of current digital security protection is further promoted. Compared with a traditional scheme, the scheme is safer and more intelligent, so that the safety and reliability of satellite navigation positioning are ensured.

This disclosure describes a security elevation system that, as part of an inter-network facilitation system, can generate elevated security challenges adapted to requested network events using a security challenge platform that is agnostic to challenge type, vendor network, and network event. For example, the disclosed systems can utilize the security challenge platform to generate and distribute elevated security challenges for network events that warrant elevated client device interaction (e.g., beyond initial login interactions or other interactions). In some cases, the disclosed systems can utilize a logic platform to determine whether a network event warrants or necessitates elevated security considerations (e.g., for network events that transmit sensitive data) and can further utilize a security challenge platform to generate and provide a corresponding elevated security challenge specific to the network event.

The embodiment of the invention relates to the technical field of ETC (Electronic Toll Collection), and discloses a digital security detection method based on OBU (On Board Unit) equipment, which comprises the following steps: starting a Bluetooth communication module in the OBU equipment to search all Bluetooth wireless signals in the current environment; and receiving all searched Bluetooth wireless signals, and matching the unique device identifier in the obtained Bluetooth wireless signals with a preset information verification list of the OBU device, if the unique device identifier is matched with the preset information verification list, the verification is passed, and if the unique device identifier is not matched with the preset information verification list, the verification fails. When the verification is passed, the OBU equipment own program sets the transaction function of the OBU to be in an available state; and when the verification is not passed, the OBU own program sets the transaction function of the OBU to be in an unavailable state. According to the method, whether the OBU equipment is in an allowed physical range or not can be quickly judged, so that the transaction function of the OBU can be controlled to be available or unavailable.

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.

Systems and methods are described for configuring a web page using chain of trust. In an example, a web browser can receive a certificate hierarchy from a web server in response to a request for a web page. The web browser can apply a hash algorithm to one or more digital security certificates in the certificate hierarchy. The web browser can send the hash values to a deployment database that stores mappings of known hash values to website configuration settings. The deployment database can respond with the corresponding configuration settings. The web browser can merge the configuration settings and apply them to the web page prior to rendering the web page on a display.

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 discloses an audiovisual authenticity identification method, system and device and a storage medium, and relates to the technical field of digital security, the method comprises the following steps: constructing a first annotation data set and a second annotation data set according to multi-modal data, using the first annotation data set to pre-train an audiovisual authenticity identification model, and using the second annotation data set to pre-train the audiovisual authenticity identification model; the audio-visual authenticity identification model comprises an image modal sub-model and an audio modal sub-model; applying the pre-trained audio-visual authenticity identification model to an audio-visual authenticity identification task, performing fine adjustment on the audio-visual authenticity identification model by using a second annotation data set, and optimizing the audio-visual authenticity identification model after fine adjustment; and inputting to-be-identified multi-modal data into the optimized audio-visual authenticity identification model, and performing authenticity identification. By using image data, video data, audio data and other data in various modes, the model can comprehensively judge the authenticity of the digital content from multiple angles, so that the identification accuracy is improved.

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.

Methods, systems and apparatus for using blockchain distributed ledgers to build and maintain infrastructure projects utilizing smart meters and smart contracts to increase information flow in the securitization of digital securities which are issued to fund and administer the infrastructure projects and to provide transparent and predictable returns to investors and efficient capital formation and infrastructure management to the digital security Issuers.

The invention relates to the technical field of digital transformation management, in particular to an enterprise digital transformation full life cycle management and control method and system, which are applied to a target enterprise, and the method comprises the following steps: carrying out digital transformation demand analysis and planning on the target enterprise, and customizing a digital transformation scheme for the target enterprise; carrying out resource aggregation and collaborative optimization; constructing a data-driven decision support system for the target enterprise; constructing a digital security and compliance guarantee mechanism for the target enterprise; and on the basis of the digital transformation scheme, enterprise digital transformation full-life-cycle management and control are carried out on the target enterprise through the decision support system. According to the method, a digital transformation scheme is customized for an enterprise, full-life-cycle management and control are carried out on the enterprise, the transformation progress and the evaluation effect are monitored in real time, the strategy is flexibly adjusted, uncertainty and risks in the transformation process are effectively handled, and smooth implementation of a transformation target is ensured.

Provided is a method and device for protecting a computerized digital security device against side-channel, fault injection, and timing attacks, the method comprising identifying asynchronous tasks to be performed by the computerized digital security device by placing identified asynchronous tasks in an asynchronous task queue; and executing a first application, including non-linearizing execution of the application by selecting at least one task from the asynchronous task queue, executing the selected at least one task, removing the selected at least one task from the asynchronous task queue. Other embodiments disclosed.

Apparatuses, methods, and computer-readable storage media for analyzing organizational digital security. One method includes receiving, by at least one processor, organizational data associated with a plurality of organizational resources for an organization. The method may include analyzing the organizational data. The method may include determining a readiness score based on analyzing the organizational data. The method may include generating a resilience based on the resilience score, the resilience include a level of preparedness for avoiding an interruption in operation of the plurality of organizational resources.

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.

Performance is improved while protecting the computerized digital security device against side channel attacks, fault injection attacks, and timing attacks, the method including executing a first application including identifying asynchronous tasks to be executed by the computerized digital security device by placing the identified asynchronous tasks in an asynchronous task queue, and non-linearizing execution of the application by selecting at least one task from the asynchronous task queue, executing the selected at least one task, and removing the selected at least one task from the asynchronous task queue.

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.