首页> 外文期刊>Journal of Residuals Science & Technology >A Hybrid Cloud Dynamic Trust Measurement Method based on Recommendation Feedback
【24h】

A Hybrid Cloud Dynamic Trust Measurement Method based on Recommendation Feedback

机译:基于建议反馈的混合云动态信任度量方法

获取原文
       

摘要

In order to improve the cloud service quality, to ensure the cloud users select the trusted cloud service providers, to solve the recognition problem of malicious user at cloud server side, a hybrid cloud dynamic trust evaluation model and trust metrics method based on recommendation feedback is proposed. The deviation of service quality and evaluation standard is regard as the calculation basis of direct trust. The indirect trust is calculated by using the indirect trust graph constructed by the recommendation path. The recommendation trust calculation system is constructed by the reliability of evaluation, the familiarity of the entity and the similarity of evaluation, which the dynamic trust evaluation of hybrid cloud has became a reality. The simulation experiment result shown that the model evaluation result is more closer to the real trust degree of cloud service providers, and the model can resist attacks from malicious cloud users effectively. Compared with the CCECDTM model, the success rate of access increased 8%.
机译:为了提高云服务质量,确保云用户选择可信云服务提供商,解决云服务器端恶意用户的识别问题,提出了一种基于推荐反馈的混合云动态信任评估模型和信任度量方法。建议。服务质量和评估标准的偏差被视为直接信任的计算基础。通过使用推荐路径构造的间接信任图来计算间接信任。通过评估的可靠性,实体的熟悉度和评估的相似性构建推荐信任计算系统,混合云的动态信任评估已成为现实。仿真实验结果表明,模型评估结果更接近云服务提供商的真实信任度,模型可以有效抵御来自恶意云用户的攻击。与CCECDTM模型相比,访问成功率提高了8%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号