基于污点数据聚类的攻击调频信号虚警预估计
发布时间：2019-02-21 15:36
【摘要】：对网络攻击信号的线性调频建模和虚警门限预估计,是实现网络攻击信号检测的基础。传统方法采用路由数据交换的阵列信号聚类方法进行信号建模和虚警门限估计,由于攻击信号具有多波束自相似特征,导致虚警门限的预测精度不高。提出一种基于污点数据双模聚类的攻击调频信号虚警预估计算法,采用频率调制规律设计网络攻击信号模型,对攻击信号进行双线性核相位加权,得到脉冲压缩后的攻击信号二次调频信号输出。在双模聚类的时频平面内实现对信号检测能量的聚集,以改善信号分量聚集的尖峰,实现了对攻击调频信号的时间点与频率点的重组排列和特征分布估计,达到对虚警门限准确估计的目的。实验结果表明,该算法能有效估计攻击调频信号的虚警门限,对网络攻击信号的虚警门限的预估计精度达到98.5%,提高了对攻击信号的参数估计和信号检测能力,提高检测概率,优越性明显。
[Abstract]:The linear frequency modulation modeling and the false alarm threshold pre-estimation of the network attack signal are the basis of the detection of the network attack signal. in the traditional method, the signal modeling and the false alarm threshold estimation are carried out by adopting the array signal aggregation method of the route data exchange, and the prediction accuracy of the false alarm threshold is not high due to the multi-beam self-similarity characteristic of the attack signal. The invention provides a method for estimating an attack frequency modulation signal virtual police based on a spot data dual-mode aggregation, which is characterized in that a network attack signal model is designed by adopting a frequency modulation rule, and the attack signal is subjected to bilinear nuclear phase weighting to obtain an attack signal secondary frequency modulation signal output after the pulse compression. the aggregation of the signal detection energy is realized in the time-frequency plane of the dual-mode poly-type, so that the peak of the signal component aggregation is improved, the recombination arrangement and the characteristic distribution estimation of the time point and the frequency point of the attack frequency modulation signal are realized, and the purpose of accurate estimation of the false alarm threshold is achieved. The experimental results show that the algorithm can effectively estimate the false alarm threshold of the attack frequency modulation signal, the pre-estimation accuracy of the false alarm threshold of the network attack signal reaches 95.8%, the parameter estimation and signal detection capability of the attack signal are improved, the detection probability is improved, and the superiority is obvious.
【作者单位】： 河南牧业经济学院计算机应用系;河南建筑职业技术学院信息工程系;
【分类号】：TP393.08
[Abstract]:The linear frequency modulation modeling and the false alarm threshold pre-estimation of the network attack signal are the basis of the detection of the network attack signal. in the traditional method, the signal modeling and the false alarm threshold estimation are carried out by adopting the array signal aggregation method of the route data exchange, and the prediction accuracy of the false alarm threshold is not high due to the multi-beam self-similarity characteristic of the attack signal. The invention provides a method for estimating an attack frequency modulation signal virtual police based on a spot data dual-mode aggregation, which is characterized in that a network attack signal model is designed by adopting a frequency modulation rule, and the attack signal is subjected to bilinear nuclear phase weighting to obtain an attack signal secondary frequency modulation signal output after the pulse compression. the aggregation of the signal detection energy is realized in the time-frequency plane of the dual-mode poly-type, so that the peak of the signal component aggregation is improved, the recombination arrangement and the characteristic distribution estimation of the time point and the frequency point of the attack frequency modulation signal are realized, and the purpose of accurate estimation of the false alarm threshold is achieved. The experimental results show that the algorithm can effectively estimate the false alarm threshold of the attack frequency modulation signal, the pre-estimation accuracy of the false alarm threshold of the network attack signal reaches 95.8%, the parameter estimation and signal detection capability of the attack signal are improved, the detection probability is improved, and the superiority is obvious.
【作者单位】： 河南牧业经济学院计算机应用系;河南建筑职业技术学院信息工程系;
【分类号】：TP393.08
【参考文献】
相关期刊论文 前2条
1 李静梅;王雪;吴艳霞;;一种改进的优先级列表任务调度算法[J];计算机科学;2014年05期
2 覃雄派;王会举;李芙蓉;李翠平;陈红;周p，
本文编号：2427631
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