An Intelligent System for DDoS Attack Prediction Based on Early Warning Signals
Author:
Affiliation:
1. Department of Informatics, Federal University of Paraná, Curitiba, Brazil
2. Computer Science Department, both Federal University of Paraná and Federal University of Minas Gerais, Curitiba, Brazil
Funder
Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico
Funda??o de Amparo ? Pesquisa do Estado de S?o Paulo
Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/4275028/5699970/09956892.pdf?arnumber=9956892
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. MFGD3QN: Enhancing Edge Intelligence Defense Against DDoS With Mean-Field Games and Dueling Double Deep Q-Network;IEEE Internet of Things Journal;2024-07-01
2. Multifaceted DDoS Attack Prediction by Multivariate Time Series and Ordinal Patterns;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
3. Unsupervised Feature Engineering Approach to Predict DDoS Attacks;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
4. The K Critical Path Sets to Protect in Interdiction Networks Under Limited Defensive Resources;IEEE Transactions on Network and Service Management;2023-12
5. An Efficient Multiplex Network Model for Effective Honeypot Roaming against DDoS Attacks;IEEE Transactions on Network Science and Engineering;2023
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