Trend in SDN Architecture for DDoS Detection-A Comparative Study

Josy Elsa Varghese, Balachandra Muniyal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Security demands are increasing in this tech era. The existence of Software Defined Networks (SDN) in the security field encourages the network architecture to meet the dynamic security issues of modern technology by providing programmability, flexibility, scalability, and interoperability. Since Distributed Denial of Service (DDoS) attacks have caused major cybercrime for a few decades, the solutions to DDoS detection in the SDN architecture bring adaptable solutions for changing network scenarios. This paper deals with the trend in the SDN architectural solution for DDoS attacks by surveying various methodologies used for DDoS detection in SDN. The pros and cons of each SDN architectural design for DDoS detection were discussed in this comparative study of various SDN frameworks for DDoS detection.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages170-174
Number of pages5
ISBN (Electronic)9781665412445
DOIs
Publication statusPublished - 2021
Event2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2021 - Nitte, India
Duration: 19-11-202120-11-2021

Publication series

Name2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2021 - Proceedings

Conference

Conference2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2021
Country/TerritoryIndia
CityNitte
Period19-11-2120-11-21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Control and Optimization

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