Machine Learning Based DoS Traffic Analysis on the Testbed Environment-Reference-Cited by-同舟云学术

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Machine Learning Based DoS Traffic Analysis on the Testbed Environment

Published:2023-02-27 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Conference on Computer Applications (ICCA)
language:
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Author:

Yi Htay Htay¹,Aye Zin May²

Affiliation:

1. Information and Communication Technology Training Institude (ICTTI), Information and Communication Technology Research Center (ICTRC),Yangon,Myanmar

2. University of Computer Studies,Faculty of Computer Systems and Technologies,Yangon,Yangon (UCSY),Myanmar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181239/10181325/10181878.pdf?arnumber=10181878

Reference23 articles.

1. Feature selection and intrusion classification in NSL-KDD cup 99 dataset employing SVMs

2. Characterization of Tor Traffic using Time based Features

3. An efficient intrusion detection system based on support vector machines and gradually feature removal method

4. A Review of the Advancement in Intrusion Detection Datasets

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