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43 results about "Total graph" patented technology

Multi-granularity data cascade updating method and device based on dynamic topological graph and medium

The invention discloses a multi-granularity data cascade updating method and device based on a dynamic topological graph and a medium, and relates to the technical field of data processing. The method maintains a multi-level data dependency model (DAG) in memory. The system recursively updates a target node by monitoring the change of a source node and utilizing an incremental propagation algorithm. For a high-concurrency scene needing isolation verification, the method introduces an overlay shadow topology mechanism: on the premise of not destroying a main graph structure and not copying a total graph, only instantiating a shadow copy of an affected node based on a Context ID, and constructing an overlay Mapping pointing to a father node; when the propagation path is calculated, the numerical value of the shadow node is preferentially read based on the context, and the propagation path of the original node is logically blocked in the current context. The invention further provides a path convergence mechanism and rendering frame synchronization technology based on topology in-degree, and the problems of resource competition, data consistency and front-end rendering flicker under the complex dependence network are effectively solved.
Owner:BEIJING DATANG SITUO INFORMATION TECHNOLOGY CO LTD

Multi-view graph time sequence cooperative detection method and device for encrypted malicious traffic

The invention relates to a multi-view graph time sequence cooperative detection method and device for encrypted malicious traffic, and belongs to the technical field of network security. A'multi-granularity feature-multi-view graph time sequence 'cooperative detection framework is constructed, multi-granularity features such as IP segmented coding and load entropy are fused, MLMC sampling and bidirectional time sequence convolution are combined, and space-time cooperative modeling of large-scale flow network nodes is achieved in a unified framework. The bottleneck that a traditional method is single in feature view angle and low in total graph calculation efficiency is effectively solved, and the precision and robustness of malicious traffic detection are improved.
Owner:QUAN CHENG LABORATORY