计算机与现代化Issue(4)：21-26,6.DOI:10.3969/j.issn.1006-2475.2024.04.004
基于多智能体遗传算法的云平台抗虚假数据注入攻击方法
Multi-agent Genetic Algorithm Based Cloud Platform Anti-fake Data Injection Attack Method
摘要
Abstract
In order to ensure the security of data transmission in cloud platforms,a multi-agent genetic algorithm based anti false data injection attack method for cloud platforms is proposed.We build a cloud platform using the open source platform Open-Stack,and analyze the process of false data injection attacks on the cloud platform.Based on this attack process,a false data in-jection attack detection framework is constructed by combining Copula function and GAN generation countermeasures network.The discriminator and generator in the Copula GAN function model are used to conduct countermeasures training on the original measured data of the cloud platform,and then an extreme random tree classifier is used to detect false data to determine whether there is a false data injection attack in the cloud platform.Using a three-layer attack and defense game model to defend against false data injection attacks in the cloud platform,the model allocates defense resources for each data transmission line,and sets corresponding constraints.The model is optimized using a multi-agent genetic algorithm to complete the defense against false data injection attacks on cloud platforms.The experimental results show that this method can accurately detect false data on cloud platforms and take timely defensive measures,and has a strong ability to resist false data injection attacks.关键词
多智能体/遗传算法/云平台/虚假数据/注入攻击/攻击防御Key words
multi-agent/genetic algorithm/cloud platform/false data/injection attack/attack defense分类
信息技术与安全科学引用本文复制引用
王东岳,刘浩..基于多智能体遗传算法的云平台抗虚假数据注入攻击方法[J].计算机与现代化,2024,(4):21-26,6.基金项目
教育部工程科技人才培养专项研究基金资助项目(19JDGC005) （19JDGC005）
