Unsupervised Feature Engineering Approach to Predict DDoS Attacks
Author:
Affiliation:
1. Federal University of Parana,Department of Informatics,Brazil
2. Federal University of Minas Gerais,Department of Computer Science,Brazil
Funder
National Council for Scientific and Technological Development (CNPq)
Coordination for the Improvement of Higher Education Personnel (CAPES)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437029.pdf?arnumber=10437029
Reference19 articles.
1. A meta-evaluation of machine learning techniques for detection of DDoS attacks;Jyoti,2021
2. Findings from 2nd half;Netscout,2022
3. Methods for Preventing Distributed Denial of Service Attacks in Cloud Computing
4. Detection and prediction of DDoS cyber attacks using spline functions
5. A Stochastic Adaptive Model to Explore Mobile Botnet Dynamics
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