物联网DDoS攻击检测研究  

Researchon DDoSAttack Detection of Internet of Things

作　　者：黄华雪 王印玺 HUANG Huaxue;WANG Yinxi(School of Cyber Science and Engineering,Sichuan University,Chengdu 610065)

机构地区：[1]四川大学网络空间安全学院,成都610065

出　　处：《现代计算机》2021年第16期50-54,共5页Modern Computer

摘　　要：随着通信技术快速发展,物联网接入互联网愈发便捷,物联网设备数量快速增长。由于物联网设备资源受限和对物联网安全考虑不足,导致物联网DDoS攻击事件频出,对社会造成巨大的影响。为了减轻物联网DDoS攻击造成的影响,本研究提出基于TCN模型物联网DDoS检测方案,但由于公开数据集CIC-DDoS2019的攻击流量远大于正常流量,所以该方案采用抓取正常流量作为补充来训练模型。经验证,提出的检测方案能有效检测出物联网DDoS攻击活动,检测精度为0.9935。With the rapid development of communication technology,the Internet of Things( IoT) has become more convenient to access the Internet,and the number of IoT devices has grown rapidly. Due to the limited resources of the IoT equipment and insufficient consideration of the security of theIoT,the IoT DDoS attacks have occurred frequently,which has a huge impact on society. In order to reduce the impact of IoT DDoS attacks,this research proposes an IoT DDoS detection scheme based on the TCN model. However,since the attack traffic of the public data set CIC-DDoS2019 is much larger than the normal traffic,the program uses capturing normal traffic as a supplement for training model. It has been verified that the proposed detection scheme can effectively detect IoT DDoS attacks with a detection accuracy of 0. 9935.

关 键 词：物联网 DDOS检测 TCN 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术] TN915.08[自动化与计算机技术—计算机科学与技术]