成都理工大学学报（自然科学版）2017，Vol.44Issue(4)：506-512,7.DOI:10.3969/j.issn.1671-9727.2017.04.14
基于量子神经网络的网络攻击同源性判定方法
Homology identification method of network attack based on quantum neural network
摘要
Abstract
The analysis method of homology identification of network attack is discussed in order to provide basis for attack scenario restoration,attack qualitative,and attacker traceability in the background of big data.An attack description method based on evidence chain is proposed,and the key fingerprints of each link of the network attack chain are summarized.Furthermore,the corresponding model for identification of the homology of network attacks is proposed.The edit distance between each link is calculated to describe the similarity,and the algorithm fusion of similarity is designed by neural network method.Then,the homologous decision of network attack is recognized.It shows that this method can effectively determine the homology of network attacks,with more accurate result over the sample-based method.This work provides an effective approach for improving the ability and automation of homology judgment of network attacks in big data.关键词
网络攻击/量子神经网络/同源性/编辑距离Key words
network attack/quantum neural network/homology/edit distance分类
信息技术与安全科学引用本文复制引用
唐彰国,李焕洲,张健..基于量子神经网络的网络攻击同源性判定方法[J].成都理工大学学报（自然科学版）,2017,44(4):506-512,7.基金项目
四川省教育厅青年基金项目(15ZB0026). （15ZB0026）
