基于防伪码鉴定机制的数据伪造攻击检测方法  

Data Falsification Attack Detection Method Based on Anti-counterfeiting Code Identification Mechanism

作　　者：李鑫滨[1] 张孜[1] 韩松[1] 闫磊[1] 

机构地区：[1]燕山大学工业计算机控制工程河北省重点实验室,河北秦皇岛066004

出　　处：《计算机工程》2016年第8期112-116,共5页Computer Engineering

基　　金：国家自然科学基金资助项目(61172095)

摘　　要：在认知无线电网络中,恶意用户会发送虚假信号给融合中心,使融合中心做出主用户存在的错误判断。针对该问题,提出一种基于鉴定机制的协作频谱感知方法。为每个认知用户本地检测信息附加防伪码对恶意用户进行识别,以降低恶意用户对协作频谱感知性能的影响,同时对防伪码的长度进行优化,以减小系统的能量消耗,并将感知效率作为评估感知性能的指标,达到检测性能和系统开销之间的平衡。仿真结果表明,在恶意用户存在的情况下,与传统的K-out-of-N方法相比,该方法有效地提高了系统的感知效率。In the Cognitive Radio Network（CRN）, Malicious User（MU） can transmit false information to the fusion center,causing the fusion center to make a false decision that the Primary User （PU） is present. In order to solve this problem,a cooperative spectrum sensing algorithm based on identification mechanism is proposed. In this algorithm,anti- counterfeiting codes are attached to each of the local spectrum information to filter out the incorrect information so as to reduce the effect of MU on cooperative spectrum sensing. The anti-counterfeiting code length is also optimized to reduce the system overhead. Further, the sensing efficiency is introduced to evaluate the detection performance of this identification mechanism to achieve balance between detection performance and system overhead. Simulation results demonstrate that compared with the traditional K-out-of-N method,this method improves the sensing efficiency effectively in the presence of MU.

关 键 词：协作频谱感知 数据伪造攻击 鉴定机制 系统开销 感知效率 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]