Detection of Unknown DDoS Attacks with Deep Learning and Gaussian Mixture Model

Detection of Unknown DDoS Attacks with Deep Learning and Gaussian Mixture Model

DDoS (Distributed Denial of Service) attacks have become a pressing threat to the security and integrity of computer networks and information systems, which are indispensable infrastructures of modern times. The detection of DDoS attacks is a challenging issue before any mitigation measures can be t...

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Bibliographic Details
Main Authors: Chin-Shiuh Shieh, Wan-Wei Lin, Thanh-Tuan Nguyen, Chi-Hong Chen, Mong-Fong Horng, Denis Miu
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
distributed denial of service (DDoS)
machine learning
long short-term memory (LSTM)
gaussian mixture model
incremental learning
Online Access:https://www.mdpi.com/2076-3417/11/11/5213

Internet

https://www.mdpi.com/2076-3417/11/11/5213

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