A Deep Learning-based System for DDoS Attack Anticipation
Author:
Affiliation:
1. Federal University of Minas Gerais,Department of Computer Science,Brazil
2. Federal University of Paraná,Department of Informatics,Brazil
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000062/10000066/10000427.pdf?arnumber=10000427
Reference17 articles.
1. (Short Paper) Effectiveness of Entropy-Based Features in High- and Low-Intensity DDoS Attacks Detection
2. Real-Time Multistep Attack Prediction Based on Hidden Markov Models
3. Can kurtosis be an early warning signal for abrupt climate change?
4. Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data
5. Predicting Cyber Security Incidents Using Feature-Based Characterization of Network-Level Malicious Activities
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1. Multifaceted DDoS Attack Prediction by Multivariate Time Series and Ordinal Patterns;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
2. An Autonomous System for Predicting DDoS Attacks on Local Area Networks and the Internet;2023 IEEE Latin-American Conference on Communications (LATINCOM);2023-11-15
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