Distributed Denial of Service Attack Detection Using Machine Learning and Class Oversampling-Reference-Cited by-同舟云学术

Distributed Denial of Service Attack Detection Using Machine Learning and Class Oversampling

Published:2021 Issue: Volume: Page:247-259
ISSN:1865-0929
Container-title:Applied Intelligence and Informatics
language:
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Author:

Shafin Sakib Shahriar,Prottoy Sakir Adnan,Abbas Saif,Hakim Safayat Bin,Chowdhury Abdullahi,Rashid Md. Mamunur

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-82269-9_19

Reference18 articles.

1. Communications in Computer and Information Science;A Chowdhury,2016

2. Kaspersky DDoS attack report. https://securelist.com/ddos-attacks-in-q2-2020/98077/. Accessed 19 Mar 2021

3. Kasim, O.: An efficient and robust deep learning based network anomaly detection against distributed denial of service attacks. Comput. Netw. 180, 107390 (2020)

4. Kushwah, G.S., Ranga, V.: Voting extreme learning machine based distributed denial of service attack detection in cloud computing. J. Inf. Secur. Appl. 53, 102532 (2020)

5. Kushwah, G.S., Ali, S.T.: Distributed denial of service attacks detection in cloud computing using extreme learning machine. Int. J. Commun. Netw. Distrib. Syst. 23(3), 328–351 (2019)

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