An Evaluation Framework for Machine Learning Methods in Detection of DoS and DDoS Intrusion-Reference-Cited by-同舟云学术

An Evaluation Framework for Machine Learning Methods in Detection of DoS and DDoS Intrusion

Published:2022-02-21 Issue: Volume: Page:
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Container-title:2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
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Author:

Zewdie Temechu Girma¹,Girma Anteneh¹

Affiliation:

1. University of the District of Columbia,Computer Science and Engineering,Washington DC,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9722611/9722613/09722661.pdf?arnumber=9722661

Reference15 articles.

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2. CICFlowMeter/ReadMe.txt at master • ahlashkari/CICFlowMeter;lashkari,2021

3. Identification and analysis of DoS attack Using Data Analysis tools;sharma;International Journal of Innovative Research in Computer and Communication Engineering,2016

4. Machine Learning Techniques used for the Detection and Analysis of Modern Types of DDoS Attacks;sharma;International Research Journal of Engineering and Technology (IRJET),2017

5. Machine Learning Fundamentals A Concise Introduction;jiang,2021

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