基于免疫算法的迁移工作流实例安全工作位置选择

摘要

In migrating workflow system, the security and route of migrating instance for the completion of the workflow plays a vital role. This paper presents a migration strategy based on immune algorithm. This method draws on the immune system's features, encodes migrating instance's needs and security requirements as antigen and work location of service information and security as antibody, and simulates the matching process of the immune system in order to get the migration routes dynamically. The algorithm considers both the resource requirements of Agent's task and the security of the workstation according to Agent's risk in order to achieve safer route planning. The simulation results show that the algorithm effectively avoids the malicious host, significantly reduces the probability of migrating instance attacked and enhance the security of migrating instance.%在迁移工作流系统中迁移实例的安全和路线规划对于工作流目标的完成起着至关重要的作用.提出一种基于免疫算法的迁移策略,该方法借鉴生物免疫系统的特性,将迁移实例的需求以及安全要求编码为抗原,将工作位置的服务信息以及安全性能编码为抗体,模拟免疫系统的匹配过程从而动态的得到迁移路线.该方法不仅考虑迁移实例的任务需求,而且对迁移实例的需求信息划分安全等级,考虑工作位置的安全性,从而为迁移实例得到一个相对安全的迁移目标.仿真实验表明,该算法有效的避开了恶意主机,使迁移实例的被攻击率大大降低,保护了迁移实例的安全.