基于大数据分析的电网网络安全监测与预警系统

A Power Grid Network Security Monitoring and Early Warning System Based on Big Data Analysis

张建粉¹

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作者信息

1. 国网新疆电力有限公司巴州供电公司,新疆库尔勒 841000
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摘要

为解决电网网络的安全问题,文章设计了一种基于大数据分析技术的电网网络安全检测与预警系统.该系统基于深度学习算法卷积神经网络(CNN)和循环神经网络(RNN),对电网网络进行实时监控,识别潜在风险,旨在保障电网网络的安全.

Abstract

To address the security issues of the power grid network,this article proposes a power grid network security detection and warning system based on big data analysis technology.The system is based on deep learning algorithms Convolutional Neural Network(CNN)and Recurrent Neural Network(RNN)to monitor the power grid network in real-time,identify potential risks,and aim to ensure the security of the power grid network.

关键词

大数据分析/电网网络安全/监测与预警系统/深度学习技术/生成对抗网络

Key words

big data analysis/power grid network security/monitoring and early warning system/deep learning techniques/generative adversarial network

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出版年

2024

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ISSN：

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