计算机应用 ›› 2014, Vol. 34 ›› Issue (3): 678-682.DOI: 10.11772/j.issn.1001-9081.2014.03.0678

• 先进计算 • 上一篇    下一篇

基于加权多属性云的服务信任评估方法

卫波,王晋东,张恒巍,余定坤   

  1. 信息工程大学 密码工程学院,郑州450001
  • 收稿日期:2013-09-16 修回日期:2013-11-15 出版日期:2014-03-01 发布日期:2014-04-01
  • 通讯作者: 卫波
  • 作者简介:卫波(1990-)，男，安徽六安人，硕士研究生，主要研究方向：服务计算；王晋东(1966-),男，山西洪洞人，教授，主要研究方向：信息安全、服务计算；张恒巍(1978-)，男，河南洛阳人，讲师，博士研究生，主要研究方向：需求工程、服务计算；余定坤(1991-)，男，江西赣州人，硕士研究生，主要研究方向：风险评估。
  • 基金资助:

    国防预研基金项目;河南省科技攻关计划资助项目

Service trust evaluation method based on weighted multiple attribute cloud

WEI Bo,WANG Jindong,ZHANG Hengwei,YU Dingkun   

  1. Institute of Cipher Engineering, Information Engineering University, Zhengzhou Henan 450001, China
  • Received:2013-09-16 Revised:2013-11-15 Online:2014-03-01 Published:2014-04-01
  • Contact: WEI Bo

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摘要：

针对云计算环境中服务信任的随机性和模糊性以及现有基于云模型的信任评估方法对时效性和推荐信任考虑不足的问题，提出一种基于加权多属性云的服务信任评估方法。首先，引入时间衰减因子为每次服务评价赋权重，从服务的多个属性细化信任评估粒度，通过加权属性信任云逆向生成器得到直接信任云；然后，根据评价相似度确定推荐实体的推荐权重，并计算得到推荐信任云；最后综合直接信任云和推荐信任云生成综合信任云，通过云相似度计算确定服务的信任等级。仿真结果表明，所提方法明显提高了服务交互成功率并有效抑制恶意推荐，能够更加真实地反映云计算环境中服务信任情况。

关键词: 云计算, 云模型, 信任评估, 信任云, 时间衰减因子

Abstract:

With regard to the characteristics of randomness and fuzziness in service trust under computing environment, and lack of consideration in timeliness and recommend trust, a service trust evaluation method based on weighted multiple attribute cloud was proposed. Firstly, each service evaluation was given weight by introducing time decay factor, the evaluation granularity was refined by trust evaluation from multiple attribute of service, and direct trust cloud could be generated using the weighted attribute trust cloud backward generator. Then, the weight of recommender could be confirmed by similarity of evaluation, and recommended trust cloud was obtained by recommend information. Finally, the comprehensive trust cloud was obtained by merging direct and recommended trust cloud, and the trust rating could be confirmed by cloud similarity calculation. The simulation results show that the proposed method can improve the success rate of services interaction obviously, restrain malicious recommendation effectively, and reflect the situation of service trust under computing environment more truly.

Key words: cloud computing, cloud model, trust evaluation, trust cloud, time decay factor

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