【摘要】：對(duì)網(wǎng)絡(luò)攻擊信號(hào)的線性調(diào)頻建模和虛警門限預(yù)估計(jì),是實(shí)現(xiàn)網(wǎng)絡(luò)攻擊信號(hào)檢測(cè)的基礎(chǔ)。傳統(tǒng)方法采用路由數(shù)據(jù)交換的陣列信號(hào)聚類方法進(jìn)行信號(hào)建模和虛警門限估計(jì),由于攻擊信號(hào)具有多波束自相似特征,導(dǎo)致虛警門限的預(yù)測(cè)精度不高。提出一種基于污點(diǎn)數(shù)據(jù)雙模聚類的攻擊調(diào)頻信號(hào)虛警預(yù)估計(jì)算法,采用頻率調(diào)制規(guī)律設(shè)計(jì)網(wǎng)絡(luò)攻擊信號(hào)模型,對(duì)攻擊信號(hào)進(jìn)行雙線性核相位加權(quán),得到脈沖壓縮后的攻擊信號(hào)二次調(diào)頻信號(hào)輸出。在雙模聚類的時(shí)頻平面內(nèi)實(shí)現(xiàn)對(duì)信號(hào)檢測(cè)能量的聚集,以改善信號(hào)分量聚集的尖峰,實(shí)現(xiàn)了對(duì)攻擊調(diào)頻信號(hào)的時(shí)間點(diǎn)與頻率點(diǎn)的重組排列和特征分布估計(jì),達(dá)到對(duì)虛警門限準(zhǔn)確估計(jì)的目的。實(shí)驗(yàn)結(jié)果表明,該算法能有效估計(jì)攻擊調(diào)頻信號(hào)的虛警門限,對(duì)網(wǎng)絡(luò)攻擊信號(hào)的虛警門限的預(yù)估計(jì)精度達(dá)到98.5%,提高了對(duì)攻擊信號(hào)的參數(shù)估計(jì)和信號(hào)檢測(cè)能力,提高檢測(cè)概率,優(yōu)越性明顯。
[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.
【作者單位】： 河南牧業(yè)經(jīng)濟(jì)學(xué)院計(jì)算機(jī)應(yīng)用系;河南建筑職業(yè)技術(shù)學(xué)院信息工程系;
【分類號(hào)】：TP393.08

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 李靜梅;王雪;吳艷霞;;一種改進(jìn)的優(yōu)先級(jí)列表任務(wù)調(diào)度算法[J];計(jì)算機(jī)科學(xué);2014年05期

2 覃雄派;王會(huì)舉;李芙蓉;李翠平;陳紅;周p，

本文編號(hào)：2427631