Information Security Technology Network Security Situational Awareness General Technical Requirements (English Version)
Network Security Situation Awareness is a key technology in the current information security field. It aims to comprehensively grasp the network security status, predict security trends, and provide monitoring, early warning and decision-making support by collecting and analyzing multi-dimensional data such as network traffic, asset information, logs, and vulnerability information. The release of GB/T 42453-2023 fills the gap in technical requirements in this field in China and provides a unified technical specification for the planning, design, development and evaluation of network security situation awareness systems.
According to GB/T 42453-2023, the network security situation awareness technical framework consists of front-end data sources, core components and other elements. The core components include six modules: data aggregation, data analysis, situation display, monitoring and early warning, data service interface and system management. This standard focuses on the general technical requirements of core components, and does not involve relatively independent front-end data sources and other elements.
Module Name | Function Description | Main Sub-Functions |
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Data Aggregation | Responsible for collecting, preprocessing and storing various types of network security data from front-end data sources. |
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Data Analysis | Based on various data analysis models, network attack analysis, asset risk assessment, abnormal behavior identification and security incident analysis are realized. |
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Situation display | Provide network security situation assessment results to users in different roles through a variety of views and report formats. |
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A large enterprise has achieved comprehensive monitoring of internal network traffic, asset information and security incidents by deploying a situation awareness system that complies with the GB/T 42453-2023 standard. The system identifies multiple potential APT attacks by analyzing network logs and traffic data in real time, and issues early warnings in a timely manner to help enterprises take defensive measures before being attacked.
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