摘要
针对云计算环境下信息的安全性和可靠性方面的欠缺,为了建立灵活多适应性的安全机制,将云与可信的概念相结合,是现今安全领域的一个主要研究方向。为进一步解决云计算安全问题,对云计算环境下的一些可信技术进行了研究,并在此基础上提出了一种新的逆向云生成算法。该算法基于原一维逆向云算法,使用主观信任云的期望和超熵对信任客体的可信度进行了评价,为网上交易的信任决策提供了依据。对实验数据的分析表明,与传统的算法相比,此算法在信任度的可靠性和稳定性上存在比较明显的优势。
For the lack of safety and reliability of the information in the cloud computing environment, in order to establish more flexible and adaptable security mechanism, combining the cloud and credible is a major research direction in the field of security today. Based on this point, this paper studied some credible technology in cloud computing environment, and on the basis of the above, proposed a new reverse cloud generation algorithms to further address the security issues of cloud compu- ting. Based on the original reverse cloud generation algorithms, the expected value and hyper entropy of subjective cloud was used to evaluate the reputation of trust objects, and provided a basis for trust decisions online trading. The result of simulating experiments show that this algorithm has more obvious advantages compared with traditional algorithms on the reliability and stability of the trust.
出处
《计算机应用研究》
CSCD
北大核心
2013年第8期2523-2526,共4页
Application Research of Computers
基金
山东省自然科学基金资助项目(ZR2011FM019)
山东省研究生教育创新计划资助项目(SDYY11117)
关键词
可信云
主观信任
云模型
信息可信评价
相似度
云安全
trusted cloud
subjective trust
cloud model
evaluate information security
similarity
cloud security
