Construction and Analysis of Network Cloud Security Situation Awareness System Based on DBN-DE Algorithm

被引：0

作者：

Zhang Y. ^{[1
]}

Xu X. ^{[1
]}

Shi Y. ^{[1
]}

机构：

[1] State Grid Wuxi Power Supply Company, Jiangsu, Wuxi

来源：

Journal of Cyber Security and Mobility | 2024年 / 13卷 / 03期

关键词：

Cloud computing; deep belief network; differential evolution algorithm; network security;

D O I：

10.13052/jcsm2245-1439.1335

中图分类号：

学科分类号：

摘要：

With the wide application of cloud computing, network security has become the primary issue in cloud environment. This study focuses on constructing a system focusing on network cloud security situation awareness, and combines deep belief network with differential evolution algorithm to improve the perception and analysis capability of network cloud security. Differential evolution algorithm is used to optimize DBN weights and parameters to improve system performance and generalization ability. In the aspect of system performance evaluation, the effectiveness of the system is verified by a series of experiments. The experimental results show that the system based on DBN-DE has excellent performance in network attack detection and can quickly identify various potential threats. The system also has a low false alarm rate, which can reduce the frequency of administrator intervention, and improve the efficiency and reliability of network cloud security. © 2024 River Publishers.

引用

页码：439 / 460

页数：21

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