SATVPC: Secure-agent-based trustworthy virtual private cloud model in open computing environments

SATVPC: Secure-agent-based trustworthy virtual private cloud model in open computing environments
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SATVPC:开放计算环境中基于安全代理的可信虚拟私有云模型

DOI:
10.1007/s11771-014-2290-z
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发表时间:
2014-08
影响因子:
--
通讯作者:
Wang, Xinheng
Wang, Xinheng
中科院分区:
--
文献类型:
--
作者:
Xu Xiaolong (徐小龙);Tu, Qun;Yang, Geng;Wang, Xinheng

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私有云和公有云相互转化为开放的一体化云计算环境,可以充分聚合和利用广域网和局域网的计算、存储、信息等软硬件资源,但也带来了一系列安全、可靠和可信的问题。针对这些问题,提出了一种面向集成开放云计算环境的基于安全代理的可信虚拟私有云模型SATVPC。通过引入安全代理技术,SATVPC为多租户系统提供了一个独立、安全、可信的计算虚拟私有平台。为了满足SATVPC的可信性需求,并根据其安全策略要求任务执行代理与任务执行节点之间建立信任关系,提出了一种新的动态复合可信度评估机制,包括可信度指标计算算法和可信度区分策略。实验系统表明,SATVPC和可信度评估机制能够有效地保证开放计算环境的安全性,具有可行性。实验结果和性能分析表明,该算法能够定量、准确、可操作地评估任务执行代理和任务执行节点的可信度。
Private clouds and public clouds are turning mutually into the open integrated cloud computing environment, which can aggregate and utilize WAN and LAN networks computing, storage, information and other hardware and software resources sufficiently, but also bring a series of security, reliability and credibility problems. To solve these problems, a novel secure-agent-based trustworthy virtual private cloud model named SATVPC was proposed for the integrated and open cloud computing environment. Through the introduction of secure-agent technology, SATVPC provides an independent, safe and trustworthy computing virtual private platform for multi-tenant systems. In order to meet the needs of the credibility of SATVPC and mandate the trust relationship between each task execution agent and task executor node suitable for their security policies, a new dynamic composite credibility evaluation mechanism was presented, including the credit index computing algorithm and the credibility differentiation strategy. The experimental system shows that SATVPC and the credibility evaluation mechanism can ensure the security of open computing environments with feasibility. Experimental results and performance analysis also show that the credit indexes computing algorithm can evaluate the credibilities of task execution agents and task executor nodes quantitatively, correctly and operationally.
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