Aiming at the severity and distribution of abnormal behaviour, attack behaviour, compliance, and vulnerability of equipment in the power information system, this article applies big data technology to analyse and evaluate abnormal behaviour in the network, and uses machine learning to improve the network, the ability to identify security risks and the accuracy of assessments provide strong guarantees and technical support for improving the security and reliability of power information systems.

中文翻译：

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基于大数据的网络安全风险智能分析技术研究

本文针对电力信息系统中设备异常行为、攻击行为、合规性和脆弱性的严重程度和分布，应用大数据技术对网络中的异常行为进行分析和评估，利用机器学习对网络进行改进，安全风险的识别能力和评估的准确性，为提高电力信息系统的安全性和可靠性提供了有力的保障和技术支撑。