Error-Robust Distributed Denial of Service Attack Detection Based on an Average Common Feature Extraction Technique

Error-Robust Distributed Denial of Service Attack Detection Based on an Average Common Feature Extraction Technique

In recent years, advanced threats against Cyber–Physical Systems (CPSs), such as Distributed Denial of Service (DDoS) attacks, are increasing. Furthermore, traditional machine learning-based intrusion detection systems (IDSs) often fail to efficiently detect such attacks when corrupted datasets are...

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Bibliographic Details
Main Authors: João Paulo Abreu Maranhão, João Paulo Carvalho Lustosa da Costa, Edison Pignaton de Freitas, Elnaz Javidi, Rafael Timóteo de Sousa Júnior
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
cyber–physical systems
machine learning
tensor decomposition
classification
error-robustness
Online Access:https://www.mdpi.com/1424-8220/20/20/5845

Internet

https://www.mdpi.com/1424-8220/20/20/5845

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