计算机应用研究2017，Vol.34Issue(7)：2159-2163,5.DOI:10.3969/j.issn.1001-3695.2017.07.053
认知无线电网络中基于弹性安全框架的PUE攻击模式挖掘
Research on PUE attack mining based on flexiblesecurity framework in cognitive radio networks
摘要
Abstract
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.关键词
认知无线电网络/归一化递增加权函数/贝叶斯推理/安全性/模拟主用户攻击Key words
cognitive radio networks/normalized weighted additive utility function/Bayesian inference/safety/primary user emulation分类
信息技术与安全科学引用本文复制引用
王晓辉,侯桂云,高宇飞..认知无线电网络中基于弹性安全框架的PUE攻击模式挖掘[J].计算机应用研究,2017,34(7):2159-2163,5.基金项目
国家自然科学基金资助项目(61300216) （61300216）
河南省教育厅高等学校重点科研项目(16A520060) （16A520060）
