信息网络安全

信息网络安全 ›› 2015, Vol. 15 ›› Issue (12): 14-20.doi: 10.3969/j.issn.1671-1122.2015.12.003

• 技术研究 • 上一篇    下一篇

云环境下基于IFAHP的用户行为信任模型研究

肖传奇1,2, 陈明志1,2   

  1. 1. 福州大学数学与计算机科学学院,福建福州 350108
    2. 网络系统信息安全福建省高校重点实验室,福建福州 350108
  • 收稿日期:2015-07-17 出版日期:2015-12-20 发布日期:2016-01-04
  • 作者简介:

    作者简介： 肖传奇（1990—）,男,福建,硕士研究生,主要研究方向为云计算环境用户行为安全;陈明志（1975—）,男,福建,副教授,博士,主要研究方向为云计算安全、移动数据安全、网络安全通信。

  • 基金资助:
    国家自然科学基金面上项目[71171055];福建省科技厅区域发展项目[2015H4101];福建省科技厅工业引导性(重点)项目[2015H0020]

Research on User Behavior Trust Model Based on IFAHP in Cloud Computing Environment

XIAO Chuanqi1,2, CHEN Mingzhi1,2   

  1. 1.College of Mathematics and Computer Science, Fuzhou University, Fuzhou Fujian 350108, China
    2. Key Lab of Information Security of Network System in Fujian Province, Fuzhou Fujian 350108,China
  • Received:2015-07-17 Online:2015-12-20 Published:2016-01-04

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摘要：

云计算环境下,用户行为会对云环境造成安全问题。考虑到这些安全问题所具有的随机性和模糊性,结合可信云的思想,文章提出利用改进后的层次分析法进行建模,实现采用基于主观推断模糊层次分析法（IFAHP）的模型评价用户在使用云服务时行为的可信程度。该模型将用户行为按层次分解为若干因素,通过比较因素之间的优先程度、非优先程度以及不确定性程度,修正了决策者、专家给出的初始判断矩阵,从而得到更为合理的判断矩阵,减少了云服务提供商和决策者在分析时的主观影响;逐步确定各因素的权重,提高了因素的客观性和量化特性;通过模型计算得到用户行为信任值,通过信任等级赋予用户不同的权限,降低用户对云环境安全的影响。实验结果表明,该模型能够有效检测出云环境中的恶意用户,提高云环境的安全。

关键词: 云计算, 用户行为, 层次分析法, 信任值

Abstract:

In cloud computing environment, user behavior will cause security problems. Considering the randomness and fuzziness of these security problems, the paper proposes a model for evaluating the reliability of the user in the use of cloud services by using the intuitionistic fuzzy analytic hierarchy process (IFAHP). In this model, the user behavior is decomposed into several factors according to the hierarchical decomposition. By comparing the degree of priority, the degree of non priority and the degree of uncertainty among factors, the initial judgment matrix given by the expert or decision maker is amended. Thus, a more reasonable judgment matrix is obtained, which reduces the subjective influence of the cloud service provider and decision maker on analysis. The weight of each factor is gradually determined, and the objectivity and quantitative characteristic of the factor are improved. The user behavior trust value is obtained by the model calculation and different authority is given to user according to different trust level, which reduces the impact of the user on cloud environment security. Experimental results show that the model can effectively detect the malicious users in the cloud environment, and improve the security of the cloud environment.

Key words: cloud computing, user behavior, analytic hierarchy process, trust value

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