6results about How to "Improve privacy and security" patented technology

This application relates to a transmission path planning method and apparatus for data sharing and exchange in a controlled network environment, belonging to the field of network communication and data transmission technology. The method includes: calculating the comprehensive adaptability score of the service links of the controlled network subdomains to the current service based on a security-performance dynamic coupling model, and using this score as the service link coupling feature; aggregating the service link coupling features of all subdomains to generate a global feature vector and inputting it into a policy generation model, outputting a basic path policy for cross-domain data sharing and exchange, and storing it in a historical policy database; when services are updated or new subdomains are added, performing path migration adaptation between the new service features or the service link coupling features of the new subdomains and the basic path policy, outputting a target path policy and comparing it with the historical best value for similarity, triggering policy fine-tuning based on the comparison result to obtain the optimal path policy. This method can achieve efficient, secure, and flexible data sharing and exchange in a controlled network environment.

This invention discloses a multi-dimensional privacy information perception and collection method. It constructs a formal description model of multi-dimensional privacy information, characterizing privacy information from multiple perspectives, including its composition, attributes, permissions, and control. Based on active learning and transfer learning algorithms, it builds a metadata intelligent perception, identification, and labeling method adaptable to various application scenarios and privacy protection strategies. This patent's advantages in adapting to multiple scenarios and information types allow it to adapt to the impact of changing application scenarios on privacy properties, reduce the concealment of privacy information caused by multiple information types, and improve the accuracy of privacy information perception. It focuses on perceiving multiple types of privacy information, comprehensively perceiving different privacy types such as text, images, and sound. Compared to existing single-type privacy perception methods, it is more beneficial for subsequent privacy strategy formulation and privacy control implementation, improving user privacy security. It has strong privacy perception capabilities, can process different types of data in parallel, and offers accurate privacy positioning and fast data processing.

This invention discloses a multimodal intelligent interactive portable terminal, relating to the field of portable intelligent terminal technology. It includes a hardware security sensing unit, a buttonless voice interaction unit, a covert alarm unit, a tiered alarm unit, a local AI processing unit, a peripheral expansion unit, and an optional hardware isolation unit. It integrates security monitoring, voice interaction, covert alarm, local intelligent assistance, and multi-device linkage functions, supporting offline local operation and hardware-level privacy protection. It features strong alarm concealment and high interactivity. This invention is comprehensive in function, highly secure, and highly portable, suitable for various scenarios such as personal daily life, business communication, and security protection, meeting users' diverse intelligent interaction and security protection needs.

The application belongs to the technical field of Internet, and particularly relates to an industrial Internet cross-domain metadata trusted fusion method and system, comprising the following steps: collecting structured metadata, time series metadata and relationship metadata of each industrial domain node, and constructing an intra-domain metadata graph based on field attributes and call relationships; performing semantic coding and time series coding on the intra-domain metadata graph, obtaining corresponding semantic representations and time series representations, and calculating inter-field consistency; identifying stable field clusters, drift field clusters and abnormal nodes according to the inter-field consistency in each industrial domain node; and performing segmented aggregation on the stable field clusters and the drift field clusters by each industrial domain node to generate anchor field summaries and drift trajectory summaries. The application combines metadata graph coding, field clustering and federal dynamic weighting, and realizes industrial cross-domain metadata private trusted fusion through abnormal compensation correction.

The application provides a privacy protection density clustering method, an electronic device and a storage medium. The method comprises the following steps: sending a plurality of ciphertext data to two cloud servers, so that each cloud server determines the object type of each received ciphertext data, the object type comprising a core object or a boundary object, and based on a privacy protection DBSCAN algorithm, each core object and a target boundary object in the neighborhood range of the core object are grouped into a temporary cluster, the target boundary object only belongs to one temporary cluster, the connection relationship between each temporary cluster and other temporary clusters is determined, and the connection relationship is fed back; according to the connection relationship fed back by the two cloud servers, the connected temporary clusters are merged, and a clustering result is obtained. The application can improve privacy security, and improve clustering efficiency and clustering quality.

The application belongs to the technical field of multi-source data processing and collaborative computing, and aims at the problems of multi-source heterogeneous data in complex dynamic scenes, such as time and space asynchronization, non-uniform characteristics, high processing delay, and weak concurrent support capability, and proposes a real-time processing and collaborative computing method for multi-source heterogeneous data with unified time and space reference. The method completes device coordinate calibration and timestamp calibration with Beidou time and space reference, realizes millisecond-level time and space synchronization; through a lightweight dynamic feature coding network and a self-adaptive weight distribution mechanism, unified feature extraction and target matching of multi-modal data are completed; an edge-cloud collaborative architecture is constructed, combined with hierarchical feature compression and asynchronous federated learning, supporting concurrent access of ten thousand devices and reducing end-to-end delay; integrating a digital twin engine and an operational optimization algorithm, scene deduction, resource scheduling and accurate instruction issuing are realized, which can be widely applied to global precise management and control in complex dynamic scenes such as ports and parks.