📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 12, DECEMBER 2021

DDOS attack detection using machine learning in SDN

Rashmi Parikh, Prof. Pratik Modi

DOI: 10.17148/IJARCCE.2021.101242

Abstract: Software program-described Networking (SDN) is a rising community Standard that has received significant traction from many researchers. Distributed Denial of provider (DDOS) assaults had been a real threat in lots of aspects of computer networks and disbursed applications. The main objective of a DDOS assault is to bring down the services of a target using a couple of sources which are disbursed there are numerous distributed denials of service (DDOS) attack techniques getting used to degrade the performance or availability of focused services at the net This paper presents different type of DDOS attack and Detection of DDOS attack using SDN

Keywords: Overview of SDN, DDOS Attack Type, Famous attack.

How to Cite:

[1] Rashmi Parikh, Prof. Pratik Modi, “DDOS attack detection using machine learning in SDN,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.101242