Method for service status analysis, server, and storage medium

    公开(公告)号:US11949548B2

    公开(公告)日:2024-04-02

    申请号:US17784622

    申请日:2020-11-20

    申请人: ZTE CORPORATION

    摘要: Provided are a method for service status analysis, a server, and a storage medium. The method includes: for each vertex of multiple vertices in a graph database: reading out attribute data of the vertex, where the graph database is generated in advance according to a service description table, the vertex represents a service, and the attribute data of the vertex includes at least one service attribute of the service represented by the vertex; and according to the attribute data of the vertex and attribute data of each of multiple related vertices, determining a service status level of the service represented by the vertex, where each of the multiple related vertices has a propagation relationship with the vertex; and according to the service status level of each of the services represented by the vertices, analyzing a service propagation network.

    Standardizing analysis metrics across multiple devices

    公开(公告)号:US11909611B2

    公开(公告)日:2024-02-20

    申请号:US17869485

    申请日:2022-07-20

    申请人: GOOGLE LLC

    摘要: Implementations relate to generating standardized metrics from device specific metrics that are generated during an interaction between a user and an automated assistant. The metrics indicate events that occurred while processing an interaction of a user with the automated assistant and are specific to the particular configuration of the device with which the user is interacting. Conversion mappings are determined based on device characteristics that can be utilized to convert the device metrics into standardized metrics. Analysis metrics are generated based on the standardized metrics that are incapable of being generated from the device metrics. Some implementations include visually rendering the analysis metrics such that one or more of the analysis metrics are rendered more prominently than other metrics.

    STANDARDIZING ANALYSIS METRICS ACROSS MULTIPLE DEVICES

    公开(公告)号:US20240031261A1

    公开(公告)日:2024-01-25

    申请号:US17869485

    申请日:2022-07-20

    申请人: GOOGLE LLC

    摘要: Implementations relate to generating standardized metrics from device specific metrics that are generated during an interaction between a user and an automated assistant. The metrics indicate events that occurred while processing an interaction of a user with the automated assistant and are specific to the particular configuration of the device with which the user is interacting. Conversion mappings are determined based on device characteristics that can be utilized to convert the device metrics into standardized metrics. Analysis metrics are generated based on the standardized metrics that are incapable of being generated from the device metrics. Some implementations include visually rendering the analysis metrics such that one or more of the analysis metrics are rendered more prominently than other metrics.

    AUTOMATED PREDICTION OF CYBER-SECURITY ATTACK TECHNIQUES USING KNOWLEDGE MESH

    公开(公告)号:US20230412634A1

    公开(公告)日:2023-12-21

    申请号:US18335305

    申请日:2023-06-15

    IPC分类号: H04L9/40 H04L41/16 H04L41/02

    摘要: Implementations include a computer-implemented method for reducing cyber-security risk, comprising: selecting one or more modules for inclusion in a knowledge mesh, wherein each module is associated with a respective aspect and maintains a knowledge graph specific to the respective aspect, wherein each knowledge graph is generated using data from one or more cyber-security repositories and includes nodes and connections between the nodes; receiving a query corresponding to a first node of a first knowledge graph included in the knowledge mesh; generating a response to the query by identifying connections between the first node of the first knowledge graph and at least one node of at least one other knowledge graph included in the knowledge mesh; and identifying, based on the response to the query, one or more actions to reduce cyber-security risk.