An improved multilevel fuzzy comprehensive evaluation algorithm for security performance

作     者：LI Ling-juan SHEN Ling-tong 

作者机构：College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003. China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2006年第13卷第4期

页      面：48-53页

核心收录：

学科分类：0839[工学-网络空间安全] 08[工学] 

基　　金：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) Key Laboratory of Information Technology processing of Jiangsu Province ( kjs05001) 

主　　题：security multilevel fuzzy comprehensive evaluation entropy weight P2P network 

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.