现代电子技术2026，Vol.49Issue(2)：59-64,6.DOI:10.16652/j.issn.1004-373x.2026.02.010
面向综合性云平台的主动安全防御策略研究
Research on active security defense strategy for comprehensive cloud platform
摘要
Abstract
In container cloud and microservice architecture environments,the attack methods faced by comprehensive cloud computing platforms have become more complex and varied.How to strengthen system defense capabilities while ensuring service quality is currently a major problem faced by large-scale integrated computing systems.In order to solve this problem,a container cloud and microservice active security defense strategy based on deep learning with defense cost attribute characterization is proposed.A deep reinforcement learning algorithm is designed by modeling the two key dimensions of dynamic cleaning cycle and the number of microservice replicas.The experimental results based on the actual measurement example of the cloud platform of Petro China Jidong Oilfield show that,in comparison with two defense strategies SmartSCR and ASDS-DRL,the proposed method has certain advantages in defense effectiveness,with defense efficiency increased by 72%and 7.5%respectively,proving the feasibility and effectiveness of the proposed strategy.关键词
容器云/微服务架构/主动安全防御/深度强化学习/动态清理周期/微服务副本数Key words
container cloud/microservice architecture/active security defense/deep reinforcement learning/dynamic cleanup cycle/number of microservice replicas分类
信息技术与安全科学引用本文复制引用
徐震,李波,任毅,苏宏伟,常灿..面向综合性云平台的主动安全防御策略研究[J].现代电子技术,2026,49(2):59-64,6.基金项目
天津市自然科学基金项目(22JCQNJC00160) （22JCQNJC00160）
中国石油冀东油田勘察设计与信息化研究院2023年度建设项目([2023]35号) （[2023]35号）
