336 results about "License" patented technology

The invention discloses an open source software risk detection method and device based on an SBOM list, equipment and a medium, and relates to the technical field of software detection. The method comprises the following steps: acquiring an SBOM of target software, and analyzing component information of the SBOM; generating a feature character string according to the component information, and calculating a feature hash value through a hash algorithm; based on a known open source component, analyzing component information and vulnerability information of the component, calculating a feature hash value of the component, and storing the feature hash value to form a feature database; searching a matching item in a feature database based on the feature hash value of the target software component, and if the matching item is found, obtaining a license and vulnerability information of the target software component; if not, marking, manually judging and supplementing the data to the feature database; constructing a license compatibility matrix, and checking the compatibility of the obtained license and the overall license of the project; and comparing the acquired vulnerability information with a feature database, calculating vulnerability severity by combining a CVSS scoring model, and generating a priority repair report. According to the method, the software security detection speed and accuracy are improved.

The invention discloses a server security management method and device, equipment and a medium, and belongs to the technical field of servers, and the method comprises the steps: generating a key pair through a key generation platform; storing a public key of the key pair to a nonvolatile memory of the substrate management controller; obtaining customer product feature information, and generating a target license file according to the customer product feature information and the private key; performing signature verification on the target license file according to a public key of the key pair and a hash algorithm; obtaining product feature information of the target license file, and performing matching verification on the product feature information of the target license file; and in response to that all the product feature information of the target license file is matched successfully, security verification of the target license file is successful. According to the method, the BMC chip of the server is used for carrying out security management on the license file, additional hardware does not need to be added, and the security management cost of the server is reduced.

The invention discloses a License verification method and a License verification device for private deployment of a k8s or docker environment. When the method is applied to a client, the method comprises the following steps: firstly, creating a target container by using k8s or Docker, and running target application software; then, obtaining the MAC address of the physical machine; then, according to the token information of the user, the current unique identification code of the container and the MAC address, generating a license application request, and encrypting the license application request; then, the encrypted license application request is sent to a server side to generate an authorization certificate, and the authorization certificate is encrypted; and the client receives the encrypted authorization certificate returned by the server and decrypts the encrypted authorization certificate to obtain the decrypted authorization certificate. And finally, the system verifies the authorization information in the decrypted authorization certificate, and loads a corresponding application software function module in the operation environment of the target container according to a verification result. According to the method, the security and reliability of license verification are remarkably improved, and legal use of software is ensured.

Aspects of the technology disclosed herein related to a distributed architecture for securely delivering AI models and / or training data sets to client devices for local use. The distributed includes a licensing server that controls access to and decryption of the models. The licensing server controls the distribution of licensing packages for the different models delivered by the distribution server. The client device transmits a license request to the licensing server. The licensing request may include device-level details about the client device itself, and such details may be provided in a secure, trusted manner, such as through a hardware root of trust (HROT) of the client device. If the details in the license request satisfy the security requirements for the model, a license package for the model is delivered to the client device. The license package includes a license for the model and a decryption key for the model.

Methods and systems for determining at least one candidate user for a license plate number (LPN) are described herein. A set of license plate recognition (LPR) events that correspond to the LPN and a set of access events of a plurality of users may be obtained. One or more associated events for each respective user of the plurality of users may be determined. A confidence score for each respective user may be determined based on the one or more associated events for the respective user. At least one candidate user for the LPN may be identified based on the confidence score. An indication that the at least one candidate user is a candidate for the LPN is output. Methods and systems for determining at least one candidate license plate number for a user are also described herein. Additional related methods and systems are described herein.

The invention discloses a function management method, system, equipment and medium, and relates to the technical field of servers, based on cooperative work of a controller and a logic device, the controller is responsible for reading and submitting corresponding encryption license information and further sending the information to the logic device, the logic device is responsible for verifying the authenticity of the encryption license information, and the function management efficiency is improved. The security is ensured through decryption at the hardware level, the corresponding license level is analyzed on the premise of ensuring the security, and the corresponding service function is dynamically started according to the license level. Through the combination of software and hardware, the security of license verification is remarkably improved, the reliability and stability of a server system are improved, and the method is suitable for various complex application scenes.

The invention discloses a license authorization management method for a software platform, which comprises the following steps of: storing files or data by adopting a multi-way tree type storage structure, granting a user permission of a corresponding node level according to different nodes of the multi-way tree type storage structure, generating a unique machine code according to the user permission and server hardware information, and storing the unique machine code into a server; performing digital signature on the machine code to generate a legal authorization file; finally, when the user accesses the corresponding node, performing authorization file verification, and judging whether the authorization file verification is passed or not; and the effect of browsing, viewing or modifying hierarchical management aiming at users with different permissions is realized.

The invention discloses a scene application-oriented enterprise large model selection method and system, and the method comprises the steps: obtaining a large model which can be selected by an enterprise according to a commercial permission agreement of the large model; according to existing hardware resources of an enterprise, screening from the large model list to obtain a primary selection model meeting hardware use requirements; according to the reasoning speed required by the use scene, candidate models meeting the parameter range are obtained through screening from the primary selection models; and performing capability evaluation on the candidate model by using the test data of the corresponding scene, and determining an optimal model according to an evaluation result. Through the technical scheme of the invention, the availability of the candidate large model under different hardware conditions is comprehensively evaluated, the resource configuration is optimized, the adaptation efficiency of the large model in actual business is improved, the business operation efficiency is improved, and the market competitiveness is enhanced.

Systems and methods for license distribution and management in a firmware framework. In some embodiments, an Information Handling System (IHS) may include a controller, where the controller includes firmware that, upon execution by a processing core, causes the processing core to instantiate an orchestrator; and a plurality of devices coupled to the controller, where each device includes firmware that, upon execution by a corresponding processing core, causes the corresponding processing core to instantiate a node of a plurality of nodes, and where the orchestrator is configured to obtain and distribute licenses to one or more of the plurality of nodes within a firmware framework, without any involvement by any Operating System (OS) of the IHS.

The invention discloses a platform authentication and configuration loading method and device, electronic equipment and a medium, and the method comprises the steps: generating a platform unique identifier based on a platform name of a target platform, and obtaining configuration information of the target platform in response to a configuration demand of a target object; performing multiple encryption on the platform unique identifier and the configuration information to generate a license file; the license file comprises a first public key, a key ciphertext, an identification ciphertext, a verification ciphertext and an information ciphertext; transmitting the license file to a target deployment environment, so that the target deployment environment performs multi-segment decryption on the key ciphertext, the identification ciphertext and the information ciphertext based on the first public key and performs consistency verification based on the verification ciphertext to obtain decryption configuration information; and carrying out platform initialization loading according to the decryption configuration information. The embodiment of the invention can safely and efficiently realize platform authentication and configuration loading, and can be widely applied to the technical field of data processing.

The invention discloses a software trial time setting method and system based on a dual verification mechanism, which effectively increases a tamper-proof function of software trial time control, and comprises the following steps: step S1, a client collects equipment hardware feature information, generates hardware fingerprints, and sends the hardware fingerprints to a server; packaging the hardware fingerprint, the software version number and the application timestamp into an authorization request and sending the authorization request to a license server; s2, the server generates a dynamic encryption key according to a software version matching trial period; s3, the server encrypts the hardware fingerprint, the trial deadline and the function permission list by using the dynamic key, generates a license file after adding a digital signature, and issues the license file to the client; the method is novel in structure, ingenious in conception and easy and convenient to operate, the unique binding function of the license and the hardware equipment is effectively enhanced, the cracking resistance of the encryption key is improved, the real-time tamper-proof verification function is added, and the response efficiency of an exception handling mechanism is optimized.

The invention discloses an industry operation permission intelligent approval system based on Java and an implementation method, and belongs to the technical field of computer application. The system adopts a four-layer architecture including a presentation layer, a business logic layer, a data access layer and a data storage layer. The core of the system is that the business logic layer integrates an intelligent auditing engine, a rule engine and a workflow engine; the intelligent auditing engine automatically analyzes and extracts key information in the application material through NLP and OCR technologies; a rule system based on industry classification is built in the rule engine, three-dimensional automatic verification of subject qualification, material integrity and condition conformity is executed, and regulatory terms can be mapped into executable logic; and the workflow engine automatically triggers and manages the approval process according to the verification result. According to the invention, full-process automation and intellectualization of industry operation permission approval are realized, the approval efficiency, accuracy and dynamic adaptation capability to policies and regulations are greatly improved, and the problems of low efficiency, different standards, lagging and the like existing in a traditional manual approval mode are effectively solved.

A monitoring apparatus configured to monitor a network device that is a management target of a device management service, wherein software is executed that operates in different operation modes according to a usage format, compares a version of a license agreement related to the update and linked to the current usage format for the monitoring apparatus with the current version of the license agreement in the case in which an update related to the software is necessary, and in the case in which the versions are the same, performs the update related to the software.

The invention relates to the field of computer software, and discloses an open source software code security and compliance management and control method which comprises the following steps: acquiring security vulnerabilities, licenses, version information and dependency relationship data of an open source component, constructing a component-characteristic matrix based on the data and performing dimension reduction processing, predicting a security vulnerability risk and a compliance risk of the component; key components and potential vulnerability propagation paths are identified by constructing a dependency graph and calculating a Laplacian matrix in combination with eigenvalue analysis; and finally, generating a security vulnerability repair suggestion and a compliance review report, helping a development team to preferentially process high-risk problems, and ensuring that the project meets the requirements of related licenses. According to the method, the bug repairing process can be optimized, the safety and compliance of open source software are improved, and the maintainability of the system is improved.

The invention relates to a method, in particular a computer-based method, for managing licenses for devices (3), especially for functionalities of devices (3), preferably for software products on devices (3), for users. The invention further relates to a system for managing licenses for devices (3), especially for functionalities of devices (3), preferably for software products on devices (3), for users. The invention also relates to a computer program product and a computer-readable medium.

Edge configuration aware license key generation is presented herein. An example method comprises, in response to downloading an intelligent activation key, instantiating an edge configuration engine comprising a listening process and a configuration process, creating and associating a license file vault instance with the edge configuration engine, initiating the listening process, and based on the listening process detecting that a change has occurred with the license file vault, initiating the configuration process, wherein the configuration process configures edge computing equipment to retrieve enabling data used to activate a product associated with the intelligent activation key and enumerated in the license file vault.

The invention provides a modular, computer-implemented system and method for managing attribution, licensing, and royalty enforcement of AI-generated digital assets. Known as TrustLedger, the system integrates cryptographic proof mechanisms, programmable royalty routing, and zero-knowledge license validation to enforce intellectual property rights across multi-party generative AI workflows. Core modules include: (1) a Proof-of-Origin engine capturing prompt fingerprints and generation metadata; (2) a Prompt Royalty Engine calculating and distributing royalties based on roles such as prompt engineer, model provider, or dataset curator; (3) a Zero-Knowledge License Enforcer verifying license compliance without disclosing confidential terms; and (4) an Infringement Radar detecting unauthorized use across public content sources. The system supports deployment via SDKs, APIs, or smart contracts, enabling automated enforcement across AI-generated text, code, images, audio, video, and mixed media. TrustLedger facilitates scalable, privacy-preserving IP compliance and empowers creators, developers, and platforms to assert, license, and monetize AI-generated works.

A method includes a computing device of a computing infrastructure identifying a non-fungible token (NFT) associated with a set of learning objects and establishing, with a user computing device, agreed licensing terms utilizing licensee information and based on available licensing terms of a smart contract for the set of learning objects. The method further includes generating a license smart contract for the set of learning objects to include the licensee information and the agreed licensing terms and causing generation of a license block affiliated with the NFT via a blockchain of the object distributed ledger.

The invention discloses a license plate matching method, a license plate matching device, electronic equipment and a computer program product. The method comprises the steps that a to-be-processed license plate is recognized, a character string of the to-be-processed license plate and a confidence coefficient array corresponding to the character string are obtained, and the dimension of the confidence coefficient array is the same as the length of the character string; according to the character string, the confidence coefficient array and a preset weight assignment strategy, a weight array corresponding to the character string is determined, and the dimension of the weight array is the same as that of the confidence coefficient array; based on a preset license plate prefix tree and the weight array, the character string is searched to obtain a candidate license plate set, the candidate license plate set comprises at least one candidate license plate, and the license plate prefix tree is constructed based on a license plate library; calculating the minimum editing cost of the character string and each candidate license plate in the candidate license plate set; and determining a matching result of the to-be-processed license plate based on each minimum editing cost. According to the scheme, the license plate matching robustness can be improved.

The invention relates to the technical field of intelligent traffic internet-of-things platforms, and particularly discloses a method for judging the operation state of an ETC door frame. Door frame transaction data and door frame identification data are collected and gathered according to a set time period; comparing the license plate number of the portal transaction data with the license plate number of the portal license recognition data, and screening out abnormal data; obtaining abnormal data in license plate identification, comparing the abnormal data with adjacent license plate data, obtaining license plate numbers with similarity greater than a set similarity threshold, and obtaining a to-be-verified license plate number; comparing the license plate to be verified with the license plate data in the transaction data, marking the license plate with the consistent comparison result in the transaction data as an actual license plate number, and matching the actual license plate number with the wrong license plate number in the abnormal data one by one; and marking the portals of which the plate identification error rates are greater than a set error threshold value as abnormal portals, and sending early warning information to an administrator terminal. The objective of the invention is to solve the problems that an existing portal frame monitoring system cannot cover the complex operation state of an ETC system, and the application of a monitoring model is limited.

A terminal device may, according to a support application program, in a case where a first instruction corresponding to a printing-related operation related to printing is acquired from the OS program and an end user license agreement related to the computer program has not been agreed, display, on a display of the terminal device, an end user license agreement screen. In a case where the first instruction is acquired from the OS program and the end user license agreement has been agreed, the end user license agreement screen may not be displayed. In a case where an operation of not agreeing to the end user license agreement is received on the end user license agreement screen displayed in response to the first instruction being acquired from the OS program, execution of a process corresponding to the printing-related operation may be limited.

A system and method for an adaptive license is provided. The system includes a license usage collection module to collect real-time usage data and user interaction of licensed software, a license analyzer module for analyzing and identifying patterns and trends of licensed features from the real-time usage data and user interaction, and a license adjustment module to adjust the terms and conditions of the license, thereby providing a flexible and responsive licensing approach. In another arrangement it receives predetermined options for configuring an automatic adaptability of a license model. In some embodiments it notifies and prompts a user of the licensed software for acceptance or denial of license terms according to said real-time usage data and user interactions. Other embodiments disclosed.

To provide a system.SOLUTION: A system includes: means for improving efficiency in operations for an application for a radio station license; means for utilizing AI generation technology to automate document creation and procedures related to the license application; means for easily completing the application only through a customer's entry of necessary information; and means for ensuring that AI guides preparation of application documents and appropriate procedures and supports prompt and correct examination.SELECTED DRAWING: Figure 1

The invention provides a software risk assessment method and device, electronic equipment and a storage medium, and relates to the technical field of data processing. Software data containing metadata information can be obtained by performing code analysis processing on software source codes of to-be-assessed software; the dependency relationship and vulnerability data of multiple components in the to-be-evaluated software are accurately determined, and the limitation that only a single component or a vulnerability link in a software supply chain is concerned is broken through; meanwhile, data analysis processing is performed on the license data of the to-be-evaluated software to obtain corresponding license compliance information, so that missing license compliance risk dimensions in risk evaluation are supplemented; and further combining the vulnerability score searched from the preset vulnerability database, fusing the component dependency relationship, the vulnerability data, the license compliance information and the vulnerability score to carry out risk assessment processing, and finally obtaining the target risk value of the to-be-assessed software, thereby providing a comprehensive and accurate basis for security risk judgment of the to-be-assessed software.

The invention discloses a software supply chain security management method and system, and relates to the technical field of network security. Identifying open source components, vulnerabilities and license information in the software assets through a software component analysis engine, verifying the availability of the vulnerabilities in an isolation sandbox, and generating a dynamic report; analyzing license compliance based on a legal knowledge graph, generating a risk disposal instruction in combination with a vulnerability verification result, and pushing the risk disposal instruction to a DevOps platform or a work order system for execution; and meanwhile, multi-source intelligence is fused through a federated learning engine, 0day vulnerability risks are predicted, and assets are associated to push hierarchical prompts. According to the method, dynamic risk management and control of the full life cycle of the software supply chain are realized, the problems of detection blind areas, static evaluation, weak compliance and the like in traditional management are solved, the safety and management efficiency of the supply chain are remarkably improved, and the method is suitable for key industries such as finance and electric power.

The invention relates to the technical field of artificial intelligence, in particular to an intelligent number asking method and system for a license system based on an NL2SQL large model, and the method comprises the following steps: selecting an open-source ChatGLM4 model as a base model, carrying out the fine adjustment of the base model through employing a QLoRA technology, enabling a fine adjustment data set to be Spider, and setting the batch size to be 1 during the fine adjustment; local adjustment of the model weight is realized through the QLoRA technology, the training resource demand is reduced, and the performance of the model on a specific task is improved; the method has the beneficial effects that the Spider data set is combined with the QLoRA fine tuning technology, the understanding ability of the model for different contexts and expression modes is enhanced, the problem of insufficient generalization caused by natural language expression diversity is solved, and high-quality SQL statements adaptive to multiple scenes can be accurately generated.

Provided is a system and method to count license seats of an application via an Application Context Tree (120), which is used to distinguish between different behaviors for remote sharing software running the application and normal locally running applications. A Licensing API (121) generates an application context path (210) from a process tree for connections to the machine and uses it to submit a login request. A Licensing Manager compares the application context id (320) to existing entries in an application session table (300) to determine if the requested session is different from the existing entries. It decides between allowing a login for the application without consuming a new seat, or consuming a new seat to allow the login in and adding a new entry for the application context id (320) in the application session table (300). Other embodiments disclosed.

The invention discloses a software authorization method and device based on a multi-node computer, equipment and a medium, and relates to the field of software authorization verification, and the method comprises the steps that an authorization management server sends target information of a management node to a software operator, so that the software operator constructs license data based on the target information, the encrypted license data is returned to the authorization management server; decrypting the encrypted license data, acquiring and storing the license data, receiving authorization application information sent by the client software, and performing authorization verification based on the authorization application information and the license data; if the verification is passed, acquiring a node resource file, and integrating the node resource file and the authorization permission information to obtain computing resource permission data; and encrypting the computing resource permission data, sending the encrypted data to the client software, so that the client software decrypts the data, obtains the computing resource permission data, and runs the target job based on the computing resource permission data. And authorization management of the software is realized.

Aspects of the technology disclosed herein related to a distributed architecture for securely delivering AI models and / or training data sets to client devices for local use. The distributed includes a licensing server that controls access to and decryption of the models. The licensing server controls the distribution of licensing packages for the different models delivered by the distribution server. The client device transmits a license request to the licensing server. The licensing request may include device-level details about the client device itself, and such details may be provided in a secure, trusted manner, such as through a hardware root of trust (HROT) of the client device. If the details in the license request satisfy the security requirements for the model, a license package for the model is delivered to the client device. The license package includes a license for the model and a decryption key for the model.

The invention relates to a method, in particular a computer-based method, for monitoring the validity of a time-limited license for a device (1), especially for a functionality of a device (1), preferably for a software product on a device (1) of a user, wherein the device (1) is associated with a blockchain structure (6) on which data relating to private transactions are stored with a time delay, wherein the data each comprise a timestamp block with information about the time of the transaction, and the validity of the license is monitored based on at least one timestamp block, in particular the last timestamp block (7) present in the blockchain structure (6). The invention further relates to a computer program product and a computer-readable medium.