15 results about "Specific labelling" patented technology

The invention relates to the field of vulnerability mining, in particular to a vulnerability mining method based on a large model, and the method comprises the steps: constructing a label combination library for a working condition terminal, and subsequently constructing a correlation model for a label combination based on a credible log fragment corresponding to each label in the label combination; based on the occurrence probability of each label combination and combined with the constraint discrete features of the association model corresponding to the label combination, effective sub-labels are set for the label combination, a current label combination of a current log record is analyzed subsequently for a new log record, and adaptability analysis is performed on the log record according to the effective sub-labels corresponding to the current label combination, so that the log record is obtained. According to the method, potential laws of the operation process of the industrial control terminal are considered, the association model of the log records under the specific label combination is constructed, the log records are analyzed based on the effectiveness adaptability of the label combination, log fragments possibly representing that potential abnormal vulnerabilities exist in a system are rapidly marked when massive log records are faced, and the system reliability is improved. And the accuracy and efficiency of vulnerability mining are improved.

The invention discloses a distributed database access control method, system and device and a medium, belongs to the technical field of databases, and aims to solve the technical problem of how to realize fine-grained and dynamic access control according to component characteristics and service requirements of a distributed database. The security and reliability of the distributed database in the Kubernetes environment are improved. According to the technical scheme, the method comprises the following steps: adding a specific tag for Pod of each component of the distributed database in a Kubernetes cluster; the specific label comprises a component type label and an operation type label; according to the component type label and the operation type label, defining an inbound network strategy by using a label selector mechanism of Kubernetes, and controlling external access to the distributed database component; according to the component type label and the operation type label, defining an outbound network strategy by using a label selector mechanism of Kubernetes, and controlling external access of the distributed database component; and when the service requirement of the distributed database is changed, the network strategy is dynamically updated through the apiServer of the Kubernetes.

The present application relates to the technical field of password security protection, and discloses a puncturable key policy attribute proxy re-encryption method based on lattice cryptography, which comprises an initialization step, an initial key generation step, an encryption step, a puncturable key update step, a decryption step, a re-encryption key generation step and a re-encryption step. The present application allows a receiver to perform a puncturing operation on a specific label locally, thereby autonomously revoking the decryption capability under the corresponding label without the intervention of a data owner or triggering global re-encryption. The receiver-driven revocation mechanism not only realizes fine-grained access control differentiated by labels, but also reduces system overhead while maintaining ciphertext reusability. The present scheme can securely support proxy re-encryption of ciphertext without exposing plaintext or master keys. Based on the security constructed on the LWE assumption, the present method supports multi-bit encryption and can provide effective security protection under quantum attack and chosen plaintext attack models.

A method performed by a machine learning system that involves obtaining a first ontology that includes one or more labels. Each label is associated with a sample that includes text. The ML system is configured to use a particular label to retrieve one or more samples associated with the particular label. The method further involves receiving an identification of a label of a first ontology associated with a first machine learning model to share with a second ontology associated with a second machine learning model and sharing the label and the information with the second ontology. The method further involves training the second machine learning model using the shared information associated with the label.

The invention relates to the technical field of password security protection, and discloses a puncturable key strategy attribute proxy re-encryption method based on a lattice password, which comprises an initialization step, an initial key generation step, an encryption step, a puncture key updating step, a decryption step, a re-encryption key generation step and a re-encryption step. According to the method, the receiver is allowed to perform puncture operation on the specific label locally, so that the decryption capability under the corresponding label is autonomously revoked, a data owner does not need to intervene or trigger global re-encryption, and the revocation mechanism driven by the receiver not only realizes fine-grained access control distinguished according to the label, but also realizes the decryption capability under the corresponding label. And system overhead is reduced while reusability of the ciphertext is maintained. According to the scheme, proxy re-encryption of the ciphertext can be safely supported on the premise that the plaintext or the master key is not exposed. Based on the security of LWE hypothesis construction, the method supports multi-bit encryption, and can provide effective security protection under a quantum attack and selection plaintext attack model.

The application discloses a kind of RFID sensing system device and method based on magnetron antenna coupling.The product of required identification label has two separable parts, label and antenna coupler are installed in one part of product, magnet is installed in another part of product, coupling structure is formed between antenna coupler and label, read-write system is used to transmit radio frequency signal, receive and process the radio frequency signal returned by label, reed switch is connected between two coupling radiators to form antenna coupler, magnet is used to control the state of antenna coupler, the method comprises device installation, using read-write system to receive and process the radio frequency signal generated by label, and judging the state of antenna coupler through the data information of radio frequency signal to judge the use state of product.The application uses magnet to carry out wireless, passive sensing for various actions, and the inductive function does not need to design specific label, so the structure is simple and easy to deploy, and has good application potential in Internet of Things and smart home.

The present invention relates to the field of vulnerability mining, and in particular to a vulnerability mining method based on a large model. The present invention constructs a label combination library for working condition terminals, and subsequently constructs an association model for the label combination based on the trusted log fragments corresponding to each label in the label combination. Valid sub-labels are set for the label combination based on the occurrence probability of each label combination and the constrained discrete characteristics of the association model corresponding to the label combination. Subsequently, for new log records, the current label combination of the current log record is analyzed, and the log record is adaptively analyzed based on the valid sub-labels corresponding to the current label combination. The present invention considers the potential laws of the operation process of the industrial control terminal, constructs an association model for the log record under a specific label combination, and analyzes the log record based on the adaptability of the effectiveness of the label combination. When faced with massive log records, the present invention quickly marks log fragments that may represent potential abnormal vulnerabilities in the system, thereby improving the accuracy and efficiency of vulnerability mining.

The present application relates to a method, device, electronic device and computer-readable medium for generating node permissions based on permission data to determine specific labels. The method includes: determining keywords based on the category of the specific attribute label to be assigned; determining associated nodes based on the association relationship between the node and other nodes; screening the associated nodes by the keywords to extract multiple initial target nodes; generating multiple sets of model parameters through the permission certification data entered by the node and the multiple initial target nodes; inputting the multiple sets of model parameters into the target attribute label model to generate label probabilities corresponding to each of the initial target nodes; determining the target node from the multiple initial target nodes based on the label probability; and assigning specific permission levels to the target node and the node. The present application can accurately assign corresponding permissions to the current node and the target node, thereby improving system transaction security and data security.

The invention relates to a data storage method and device, equipment and a storage medium, and relates to the technical field of data storage. According to the method and the device, the storage mode of the target file data can be determined according to the tag information corresponding to the target file data, and the target file data can be stored in a data deduplication mode only when the tag information corresponding to the target file data is the target tag information; and under the condition that the tag information corresponding to the target file data is not the target tag information, other modes except the data deduplication mode are adopted to store the target file data, that is, data deduplication processing is only carried out on the target file data of the specific tag, the data processing amount of data deduplication is reduced, and the efficiency of data deduplication processing is improved. Compared with the prior art, computing resources and computing time needed in the data storage process are effectively reduced, the number of indexes built in the data deduplication process is reduced, the memory space needing to be occupied is reduced, the data processing performance of a computer system is improved, and the data storage efficiency is improved.

This utility model relates to the field of label technology and discloses a label inspection machine, including an inspection machine body, a fixed support base, and a transmission assembly. A support platform is fixedly connected to the top of the inspection machine body. An unwinding roller is provided on the front of the inspection machine body, and a label tape is provided on the unwinding roller. A guide shaft for driving the label tape is provided on the front of the inspection machine body, and a first limiting roller for limiting the label tape is provided on the front of the inspection machine body. The transmission assembly is located inside the inspection machine body. Under the condition that the rotating threaded rod is threadedly connected to the sliding threaded block by a second motor, the sliding threaded block is driven to slide inside the fixed support base under the limitation of the fixed limiting post. This allows the inspection equipment to accurately find the position of the label code, making it applicable to specific labels with different fixed positions of the label code. This ensures the normal operation of the inspection machine, makes the inspection of the device more comprehensive, and improves the practicality of the device.

To provide an information processing system capable of properly providing experience discourse to users.SOLUTION: An information processing system 1 includes: an experience discourse acquisition unit 111 that acquires an experience discourse of a user U1; an assignment unit 112 that assigns, to the experience discourse acquired by the experience discourse acquisition unit 111, the results of the diagnosis of the characteristics of a user U1 as a label; an accumulation unit 13 that accumulates the experience discourse to which the label is assigned by the assignment unit 112; a label acquisition unit 113 that acquires specific labels; and an output unit 114 that extracts the experience discourse assigned to the label acquired by the label acquisition unit 113 from the accumulation unit 13 and outputs the same.SELECTED DRAWING: Figure 1

The invention discloses a multi-point heart rate variability measuring system and a using method thereof, and relates to the technical field of fatigue detection under strong electromagnetic environment interference. Comprising the steps that a wide-spectrum laser generates a wide-spectrum optical carrier signal, and the wide-spectrum optical carrier signal is divided into a first optical path and a second optical path; the wide-spectrum optical carrier signal of the first optical path is amplified and then transmitted to each strong electromagnetic field user environment to obtain an optical fiber sensing signal; the optical fiber sensing signals are transmitted back through the multi-direction receiving end optical antenna group, the transmitted-back optical fiber sensing signals are combined, the combined optical fiber sensing signals and original optical carrier signals are subjected to optical interference, and optical interference signals with specific labels are obtained; and converting the light interference signal with the specific label into an electric signal, and processing the electric signal to obtain a multi-point heart rate variability measurement result. According to the invention, thorough isolation between a sensitive electrical part and a strong electromagnetic environment is physically realized, and the working stability and reliability of the multi-point heart rate variability measurement system in the strong electromagnetic environment are fundamentally ensured.

The present application relates to a method, device, electronic device and computer-readable medium for determining node permissions of a relationship network optimized by matching specific labels. The method includes: extracting node data of multiple nodes in a node relationship network; obtaining category keywords and category labels corresponding to multiple categories; obtaining level keywords and level labels corresponding to category levels of each category in multiple categories; matching the multiple nodes through the node data according to the category keywords and level keywords, and assigning category labels and / or level labels to the successfully matched nodes; merging the nodes in the node relationship network and / or deleting the relationship edges between nodes according to the category labels and / or level labels to optimize the relationship network; determining the data access permission level of each node based on the optimized relationship network. The present application can quickly, accurately and reasonably optimize and simplify the relationship network, and then quickly determine the node permissions through the optimized relationship network, thereby increasing system security and transaction security.

A method performed by a machine learning system that involves obtaining a first ontology that includes one or more labels. Each label is associated with a sample that includes text. The ML system is configured to use a particular label to retrieve one or more samples associated with the particular label. The method further involves receiving an identification of a label of a first ontology associated with a first machine learning model to share with a second ontology associated with a second machine learning model and sharing the label and the information with the second ontology. The method further involves training the second machine learning model using the shared information associated with the label.

The invention discloses a crowd selection method and system supporting feature traceability. The invention relates to the technical field of Internet marketing. And inputting the tags into a tag combination operation pool A, and combining the input tags in the tag combination operation pool A according to a preset operation relationship including AND (AND) or (OR) and NOT so as to generate a tag combination meeting the business requirements. According to a label combination result, generating a preliminary circling result R which contains an entity list meeting a specific label combination condition and is a set of a user ID, a device ID and a unique identifier; by constructing a flexible label combination operation pool and applying a greedy algorithm for optimization, the target crowd meeting the business requirements can be more accurately selected, and the precision and accuracy of crowd positioning are improved. Through the optimization of the greedy algorithm, the label or the operation relation which contributes to the target most can be efficiently screened out, and invalid or redundant label combinations are avoided.