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An improved multilevel fuzzy comprehensive evaluation algorithm for security performance
  • ISSN号:1005-8885
  • 期刊名称:《中国邮电高校学报:英文版》
  • 时间:0
  • 分类:TP393.08[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003. China
  • 相关基金:This work is supported by National Natural Science Foundation of China (60173037,70271050),-Natural Science Foundation of Jiangsu Province (BK2005146), Pre-research Project Funded by Natural Science Foundation of Jiangsu Province (BK2004218), High Technology Research Programme of Jiangsu Province (BG2004004) and Key Laboratory of Information Technology processing of Jiangsu Province ( kjs05001).
中文摘要:

当评估网络安全性能时,考虑各种各样的因素是很重要的。Multilevel 模糊全面评估是一个相对有效的方法。然而,传统多铺平模糊全面评估算法依靠专家“ s 知识并且过分地经历,并且评估的结果通常是不太精确的。在这篇文章,一多改进了水平模糊全面评估算法,基于模糊集合,核心和熵重量被介绍。而且, amultilevel P2P 网络安全性能的模糊全面评估模型也被设计了,并且改进算法被用来基于模型做立刻的计算。改进算法的 Theadvantages 能与传统的评估算法比较被表达。

英文摘要:

It is of great importance to take various factors into account when evaluating the network security performance. Multilevel fuzzy comprehensive evaluation is a relatively valid method. However, the traditional multilevel fuzzy comprehensive evaluation algorithm relies on the expert's knowledge and experiences excessively, and the result of the evaluation is usually less accurate. In this article, an improved multilevel fuzzy comprehensive evaluation algorithm, based on fuzzy sets core and entropy weight is presented. Furthermore, a multilevel fuzzy comprehensive evaluation model of P2P network security performance has also been designed, and the improved algorithm is used to make an instant computation based on the model. The advantages of the improved algorithm can be embodied in comparison with the traditional evaluation algorithm.

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期刊信息
  • 《中国邮电高校学报:英文版》
  • 主管单位:高教部
  • 主办单位:北京邮电大学、南邮、重邮、西邮、长邮、石邮
  • 主编:LU Yinghua
  • 地址:北京231信箱(中国邮电大学)
  • 邮编:100704
  • 邮箱:jchupt@bupt.edu.cn
  • 电话:010-62282493
  • 国际标准刊号:ISSN:1005-8885
  • 国内统一刊号:ISSN:11-3486/TN
  • 邮发代号:2-629
  • 获奖情况:
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  • 被引量:127