欺骗攻击环境下网络信息安全漏洞深度挖掘方法  

Deep Mining Method of Network Information Security Vulnerability in Spoofing Attack Environment

作　　者：于英涛[1] 吴明虎 YU Ying-tao;WU Ming-hu(North China Institute of Computing Technology Taiji Co.,Ltd.,Beijing 100083 China;Academy of Military Medicine,Academy of Military Sciences,Beijing 100850 China)

机构地区：[1]华北计算技术研究所太极股份,北京100083 [2]军事科学院军事医学研究院,北京100850

出　　处：《自动化技术与应用》2022年第7期91-93,141,共4页Techniques of Automation and Applications

摘　　要：网络一旦出现漏洞,攻击者会利用漏洞缺陷破坏网络内的数据信息,导致信息丢失、泄漏等,为此提出一种欺骗攻击环境下网络信息安全漏洞深度挖掘方法。通过构建分线性数据网络的同时计算欺骗攻击和不攻击,利用移动网络数据信息构建自回归模型,并使模型内的数据零均值化,拟合时间序列,再结合异常数据信息判断条件,完成网络信息漏洞的深度挖掘。经过仿真实验证明:所提方法的网络信息安全漏洞深度挖掘的效率较高,误挖掘率较低,提高了挖掘精度,具有优质鲁棒性,可广泛应用于现实网络中。Once the network has loopholes,the attacker uses the loopholes to damage the data information in the network,resulting in information loss,leakage,etc.For this reason,a method for deep mining of network information security loopholes in a deception attack environment is proposed.By constructing a linear data network and calculating deception attacks and non-attack at the same time,using mobile network data information to build an autoregressive model,and zero-averaging the data in the model,fitting the time series,and combining abnormal data information to determine conditions to complete the network deep mining of information loopholes.The simulation experiment proves that the proposed method has high efficiency in deep mining of network information security vulnerabilities,low false mining rate,improves mining accuracy,high-quality robustness,and can be widely used in real networks.

关 键 词：欺骗攻击环境 网络信息安全 漏洞挖掘 自回归模型 时间序列 零均值化 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]