计算机工程与应用2024，Vol.60Issue(24)：79-96,18.DOI:10.3778/j.issn.1002-8331.2405-0367
SDN中DDoS攻击检测研究综述
Review of Research on DDoS Attack Detection in SDN
摘要
Abstract
The emergence of software defined networking(SDN)makes up for the shortcomings of traditional networks and brings technological innovation to network management.Distributed denial-of-service(DDoS)attacks,as one of the major threats in the field of network security,seriously affect the emerging network architecture of SDN.With the deploy-ment and development of SDN technology,how to detect DDoS attacks in SDN has become a hot and difficult point in the current research field.In order to provide a reasonable overview of related research work,DDoS attack detection methods are divided into three categories:information entropy-based,machine learning-based,and deep learning-based,according to the different core technologies or theories used.This paper introduces the SDN architecture and analyzes DDoS attacks within SDN,along with presenting some commonly used public datasets and evaluation indicators,then it summarizes and analyzes models or algorithms proposed by relevant researchers in recent years from four perspectives,and finally,it summarizes the future research directions and prospects in the field of DDoS attack detection in SDN,provide research ideas for relevant researchers in this field.关键词
软件定义网络/分布式拒绝服务攻击/信息熵/机器学习/深度学习Key words
software-defined network/distributed denial-of-service attack/information entropy/machine learning/deep learning分类
信息技术与安全科学引用本文复制引用
郑承蔚,王海凤,刘瑞..SDN中DDoS攻击检测研究综述[J].计算机工程与应用,2024,60(24):79-96,18.基金项目
内蒙古自治区科技计划项目(2021GG0250) （2021GG0250）
内蒙古自治区自然科学基金(2021MS06029) （2021MS06029）
内蒙古自治区科技计划项目(2020GG0104). （2020GG0104）
