认知无线电网络中基于弹性安全框架的PUE攻击模式挖掘

摘要

Concerning the effect of cognitive radio networks(CRN) on safety and performance to authorized and unauthorized users,this paper proposed a multiple criteria analysis method on the basic of flexible safety framework.This method applied normalized weighted additive utility function(NWAUF) and non-parametric Bayesian inference to calculate the possibility of the eventual presence on a network attack.It divided the instantiation into two phases,the first phase was the attack analysis of multiple-standard primary user emulation (PUE) in which the standards was designed according to different criteria and requirements.And when the network needed to change or being attacked,it allowed the standards to be added or deleted flexibly.The second phase was the synergia of CRN nodes,which was the exchange between the initial probabilities of adjacent nodes.When the initial probability was calculated,this phase begined and the probability was shared with the neighbors.The simulations on real tracking confirm that the proposed method can significantly improve the performance of spectrum sensing.Even if the number of neighbors is few,the proposed method can still obtain similar detecting proportion with a plurality of adjacent nodes.%针对认知无线电网络(CRN)对授权及未授权用户的安全性和使用性能的影响,提出一种基于CRN弹性安全框架的多标准分析方法.该方法采用归一化递增加权函数(NWAUF)和非参数贝叶斯推理来计算网络中最终存在攻击的可能性.其实例化主要分为两个阶段,第一阶段是多标准模拟主用户(PUE)的攻击分析,根据不同标准需求进行设计,并且在网络需要改变或者遭受攻击时,允许灵活地添加或者删除标准;第二阶段是CRN节点间的协同,即任意节点与其相邻节点间初步概率的交换,当计算初步概率时就启动该阶段,并与邻节点分享.基于真实跟踪的模拟仿真结果验证了该方法能显著提高频谱感知性能,即使邻节点较少时依然能够获得与多个邻节点相似的检测比例.