依赖多子群分层混合算法的云计算信息系统安全等级保护测评

基于多子群分层混合算法的云计算信息系统的概念和信息安全等级保护(Information security level protection,ISLP)的基本内涵,研究了云计算信息系统的系统结构和信息处理机制。其中,提出了一种多子群分层混合算法的云计算信息系统信息安全等级保护测评方法,即分布式配置与集中式云计算相结合,及其软硬件框架与感知检测集成,并提出了基于镜头原理的信息处理框架及其接收信息处理的流程。设计了多子群分层混合算法,利用镜头聚焦模型和五个阶段的信息处理序列,建立并解析了云计算的工作规律及其自反馈调整,验证了所提出思想的合理性和优势。

Cloud Information System Information Security Level Protection Evaluation Based on Multi-subgroup Hierarchical Hybrid Algorithm

Based on the multi-subgroup hierarchical hybrid algorithm,the concept of cloud computing information system and the basic connotation of information security level protection(ISLP),the system structure and information processing mechanism of cloud computing information system are studied.Among them,a multi-subgroup hierarchical hybrid algorithm for cloud computing information system information security level protection evaluation method is proposed,which combines distributed configuration with centralized cloud computing,and its software and hardware framework integrates with perceptual detection.Information processing framework based on lens principle and its information processing flow with receiving.A multi-subgroup hierarchical hybrid algorithm is designed.The lens focus model and five stages of information processing sequences are used to establish and analyze the working rules of cloud computing and its self-feedback adjustment.After that,the system simulation and performance analysis and comparison are provided,which proves the rationality and advantages of the proposed ideas.