摘要
对网络攻击中的节点可信度的评估,是仿真技术应用过程中一个无法回避的难题。采用当前算法进行网络攻击中的节点可信度评估时,过分依赖主观判断,存在节点可信度评估结果不准确的问题。现提出一种改进模糊评判理论的网络攻击中的节点可信度评估方法,先利用模糊综合评判理论得到影响网络攻击中的节点可靠度因素集、评判集和仿真单因素可靠度评判方程,构成一个网络攻击中的节点可靠度初始模糊综合评判模型,计算出最大的网络攻击中的节点可信度评估特征值和其对应的特征向量,基于灰色综合评估构建网络攻击中的节点可信度权重系数集,给出网络攻击中节点可信度总体的直观评估。仿真结果表明,提出的方法具有较强的实用性,为网络攻击中的节点可信度评估提供了有效的依据。
It is an inevitable puzzle in the application process of emulation technique to evaluate the node credibility in network attack. Current algorithm depends on subjective judgment excessively during node credibility evalua- tion. It leads to inaccurate evaluation results. In this paper, we propose an evaluation method of node credibility in network attack based on the modified fuzzy evaluation theory. Firstly, the fuzzy comprehensive evaluation theory is used to obtain the factor set, judgement set, and credibility judgement function of simulation single factor influencing the node credibility evaluation. Then, the initial fuzzy comprehensive evaluation model is built, and the maximal evaluation feature value of node credibility and its corresponding feature vector are calculated. Finally, the weight co- efficient set of node credibility in network attack is built based on the grey comprehensive evaluation, and the global intuitionistic evaluation of node credibility in network attack is given out. The simulation results show that the method mentioned above has good practicability. It provides effective basis for credibility evaluation of node simulation system in network attack.
出处
《计算机仿真》
CSCD
北大核心
2016年第12期432-435,共4页
Computer Simulation
关键词
节点
网络攻击
可信度
Node
Network attack
Credibility
作者简介
王唯贤（1970-），女（汉族），湖南湘潭人，硕士，讲师，主要研究方向：新媒体。
