摘要
计算系统正在逐步转向云计算基础设施,利用它们提供的几个优势,特别是经济危机时代的经济优势。除了这场革命之外,还出现了一些安全问题,特别是恶意内部人员的对抗。论文提出了一种方法,使用Smith-Waterman遗传算法的实现,检测基于KVM的云环境的内核层中的共存和网络压力攻击。已经在试验台环境中探索了所提出的方法,产生了验证其有效性的结果。
Computational systems are gradually moving towards cloud computing infrastructures,using the several advantages they have to offer and especially the economic advantages in the era of an economic crisis.In addition to this revolution,several se⁃curity matters emerged and especially the confrontation of malicious insiders.This paper proposes a methodology for detecting the co-residency and network stressing attacks in the kernel layer of a Kvm-based cloud environment,using an implementation of the Smith-Waterman genetic algorithm.The proposed approach has been explored in a test bed environment,producing results that veri⁃fy its effectiveness.
作者
王忠
许峰赫
WANG Zhong;XU Fenghe(Rocket Army Engineering University,Xi'an 710000)
出处
《计算机与数字工程》
2020年第11期2660-2664,2772,共6页
Computer & Digital Engineering
基金
国家自然科学基金项目(编号:61703411)资助。
