With more large-scale scientific computing tasks being delivered to cloud computing platforms, cloud workflow systems are designed for managing and arranging these complicated tasks. However, multi-tenant coexistence ...With more large-scale scientific computing tasks being delivered to cloud computing platforms, cloud workflow systems are designed for managing and arranging these complicated tasks. However, multi-tenant coexistence service mode of cloud computing brings serious security risks, which will threaten the normal execution of cloud workflows. To strengthen the security of cloud workflows, a mimic cloud computing task execution system for scientific workflows is proposed. The idea of mimic defense contains mainly three aspects: heterogeneity, redundancy, and dynamics. For heterogeneity, the diversities of physical servers, hypervisors, and operating systems are integrated to build a robust system framework. For redundancy, each sub-task of the workflow will be executed simultaneously by multiple executors. Considering efficiency and security, a delayed decision mechanism is proposed to check the results of task execution. For dynamics, a dynamic task scheduling mechanism is devised for switching workflow execution environment and shortening the life cycle of executors, which can confuse the adversaries and purify task executors. Experimental results show that the proposed system can effectively strengthen the security of cloud workflow execution.展开更多
基金Supported by the National Natural Science Foundation of China under Grant Nos.6047310660333010(国家自然科学基金)the National Research Foundation for the Doctoral Program of Ministry of Education of China under Grant No.20030335064(国家教育部博士点基金)
文摘提出一个专门针对协同环境下CAD模型的多层次动态的安全访问控制(multi-level and dynamic security access control,简称MLDAC)模型.该模型利用一种多层次的权限模型,以简化权限定义及其分配过程,丰富了权限表达能力,实现了产品模型的多粒度访问控制.通过参照工作流的基本理念,引入权限的依赖关系及权限状态迁移概念,实现了权限的动态授权管理.通过实践证明,MLDAC模型可以对协同设计操作进行更加有效的控制,符合设计任务间的分工性、依赖性和交互性的特点.
基金Project supported by the National Natural Science Foundation of China(Nos.61521003 and 61602509)the National Key Technologies R&D Program of China(Nos.2016YFB0800100 and 2016YFB0800101)the Key Technologies R&D Program of Henan Province,China(No.172102210615)
文摘With more large-scale scientific computing tasks being delivered to cloud computing platforms, cloud workflow systems are designed for managing and arranging these complicated tasks. However, multi-tenant coexistence service mode of cloud computing brings serious security risks, which will threaten the normal execution of cloud workflows. To strengthen the security of cloud workflows, a mimic cloud computing task execution system for scientific workflows is proposed. The idea of mimic defense contains mainly three aspects: heterogeneity, redundancy, and dynamics. For heterogeneity, the diversities of physical servers, hypervisors, and operating systems are integrated to build a robust system framework. For redundancy, each sub-task of the workflow will be executed simultaneously by multiple executors. Considering efficiency and security, a delayed decision mechanism is proposed to check the results of task execution. For dynamics, a dynamic task scheduling mechanism is devised for switching workflow execution environment and shortening the life cycle of executors, which can confuse the adversaries and purify task executors. Experimental results show that the proposed system can effectively strengthen the security of cloud workflow execution.
