移动agent系统安全问题的动态信任计算模型

Mobile internet mobile agent system dynamic trust model for cloudcomputing

在移动云计算中,数据存储和数据处理是在云端以远程方式进行的,因而信任是移动云计算安全中一个非常重要的因素.针对移动云计算环境中移动agent系统安全和信任管理问题,借鉴人类信任机制(human trust mechanism, HTM),研究主观信任形成、信任传播与信任进化规律,提出主观信任动态管理算法(MASTM);基于移动agent与执行主机的交互经历以及第三方推荐信息收集基础信任数据,给出公信主机选择算法;孤立恶意主机算法和综合信任度计算算法,实现选择信任机群,孤立恶意主机的功能,以增强移动agent与主机的安全交互效果.对所提出的算法均进行模拟实验,验证了其可行性和有效性.

In the field of mobile cloud computing,trust security in mobile cloud computing is very important because data is stored and processed in remote servers.Facing the security and trust problems of mobile agent system in cloud computing environments,we use human trust mechanism(HTM)to study the formation,propagation and evolution of subjective trust.Based on this,we propose the mobile agent subjective trust management algorithm(MASTM).We compute the mobile agent’s interaction experience with the host as well as the underlying trust data collected by third parties.Moreover,we construct a trusted host selection algorithm,an isolated malicious host algorithm and a comprehensive trust degree calculation algorithm based on these data.These algorithms implement the function of selecting a trusted fleet of machines and isolating malicious hosts,enhancing the security interaction between mobile agents and hosts.Moreover,we conduct simulation experiments for all the given algorithms to verify the feasibility and effectiveness of the algorithms.