{"title":"软件定义网络中的 DDoS 检测、缓解和防御策略综合调查","authors":"Ankit Kumar Jain, Hariom Shukla, Diksha Goel","doi":"10.1007/s10586-024-04596-z","DOIUrl":null,"url":null,"abstract":"<p> Software Defined Networking (SDN) has become increasingly prevalent in cloud computing, Internet of Things (IoT), and various environments to optimize network efficiency. While it provides a flexible network infrastructure, it also faces security threats, particularly from Distributed Denial of Service (DDoS) attacks due to its centralized design. This survey comprehensively reviews the efforts of various researchers in safeguarding SDN against DDoS attacks and analyzes different detection and mitigation strategies employed in SDN environments. Furthermore, the survey explores various types of DDoS attacks that can occur across different planes and communication links in SDN. Additionally, emerging security measures for preventing DDoS attacks in SDN are examined. The survey also reviews the datasets, tools, and simulators used for detecting DDoS attacks in SDN. Moreover, the survey identifies various open challenges in detecting and mitigating DDoS attacks in SDN and outlines potential future research directions. Lastly, the survey provides a comprehensive comparative analysis of various DDoS detection techniques based on various essential parameters. </p>","PeriodicalId":501576,"journal":{"name":"Cluster Computing","volume":"16 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comprehensive survey on DDoS detection, mitigation, and defense strategies in software-defined networks\",\"authors\":\"Ankit Kumar Jain, Hariom Shukla, Diksha Goel\",\"doi\":\"10.1007/s10586-024-04596-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p> Software Defined Networking (SDN) has become increasingly prevalent in cloud computing, Internet of Things (IoT), and various environments to optimize network efficiency. While it provides a flexible network infrastructure, it also faces security threats, particularly from Distributed Denial of Service (DDoS) attacks due to its centralized design. This survey comprehensively reviews the efforts of various researchers in safeguarding SDN against DDoS attacks and analyzes different detection and mitigation strategies employed in SDN environments. Furthermore, the survey explores various types of DDoS attacks that can occur across different planes and communication links in SDN. Additionally, emerging security measures for preventing DDoS attacks in SDN are examined. The survey also reviews the datasets, tools, and simulators used for detecting DDoS attacks in SDN. Moreover, the survey identifies various open challenges in detecting and mitigating DDoS attacks in SDN and outlines potential future research directions. Lastly, the survey provides a comprehensive comparative analysis of various DDoS detection techniques based on various essential parameters. </p>\",\"PeriodicalId\":501576,\"journal\":{\"name\":\"Cluster Computing\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s10586-024-04596-z\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10586-024-04596-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
为了优化网络效率,软件定义网络(SDN)在云计算、物联网(IoT)和各种环境中变得越来越普遍。它在提供灵活的网络基础设施的同时,也面临着安全威胁,特别是由于其集中式设计而导致的分布式拒绝服务(DDoS)攻击。本调查全面回顾了不同研究人员在保护 SDN 免受 DDoS 攻击方面所做的努力,并分析了在 SDN 环境中采用的不同检测和缓解策略。此外,调查还探讨了可能在 SDN 不同平面和通信链路上发生的各种类型的 DDoS 攻击。此外,还研究了在 SDN 中预防 DDoS 攻击的新兴安全措施。调查还回顾了用于检测 SDN 中 DDoS 攻击的数据集、工具和模拟器。此外,调查还确定了在 SDN 中检测和缓解 DDoS 攻击的各种公开挑战,并概述了潜在的未来研究方向。最后,调查根据各种基本参数对各种 DDoS 检测技术进行了全面的比较分析。
A comprehensive survey on DDoS detection, mitigation, and defense strategies in software-defined networks
Software Defined Networking (SDN) has become increasingly prevalent in cloud computing, Internet of Things (IoT), and various environments to optimize network efficiency. While it provides a flexible network infrastructure, it also faces security threats, particularly from Distributed Denial of Service (DDoS) attacks due to its centralized design. This survey comprehensively reviews the efforts of various researchers in safeguarding SDN against DDoS attacks and analyzes different detection and mitigation strategies employed in SDN environments. Furthermore, the survey explores various types of DDoS attacks that can occur across different planes and communication links in SDN. Additionally, emerging security measures for preventing DDoS attacks in SDN are examined. The survey also reviews the datasets, tools, and simulators used for detecting DDoS attacks in SDN. Moreover, the survey identifies various open challenges in detecting and mitigating DDoS attacks in SDN and outlines potential future research directions. Lastly, the survey provides a comprehensive comparative analysis of various DDoS detection techniques based on various essential parameters.