基于Python网络编码技术的数据链路层ARP攻击行为研究  

Research on ARP Attack Behavior of Data Link Layer Based on Python Network Coding Technology

作　　者：杨迎[1] 李慧颖[1] YANG Ying;LI Huiying(Beijing Institute of Information Technology,Beijing 100018)

机构地区：[1]北京信息职业技术学院,北京100018

出　　处：《软件》2020年第12期185-188,共4页Software

摘　　要：随着网络开放深度的不断增加,网络安全问题越加凸显,因此为了保证用户的切身利益,进行基于Python网络编码技术的数据链路层ARP攻击行为研究。该研究首先利用Python网络编码技术采集ARP攻击证据数据,然后对采集到的数据进行标准化处理,最后利用核主成分分析、灰色关联分析和BP神经网格联合的方法进行数据链路层ARP攻击行为识别。结果表明:所研究方法应用下,ARP攻击行为识别结果的汉明损失值都小于1,证明了研究的有效性。With the increasing depth of network opening,network security issues become more and more prominent.Therefore,in order to ensure the vital interests of users,this paper studies ARP attack behavior of data link layer based on Python Network Coding Technology.Firstly,Python Network Coding Technology is used to collect ARP attack evidence data,and then the collected data are standardized.Finally,the data link layer ARP attack behavior is identified by using kernel principal component analysis,grey correlation analysis and BP neural grid.The results show that:under the application of the research method,the Hamming loss value of ARP attack behavior recognition results is less than 1,which proves the effectiveness of the research.

关 键 词：Python网络编码技术 数据链路层 ARP攻击行为 识别与检测 

分 类 号：TP163.5[自动化与计算机技术—控制理论与控制工程]