Adversarial Robust and Explainable Network Intrusion Detection Systems Based on Deep Learning

Adversarial Robust and Explainable Network Intrusion Detection Systems Based on Deep Learning

The ever-evolving cybersecurity environment has given rise to sophisticated adversaries who constantly explore new ways to attack cyberinfrastructure. Recently, the use of deep learning-based intrusion detection systems has been on the rise. This rise is due to deep neural networks (DNN) complexity...

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Bibliographic Details
Main Authors: Kudzai Sauka, Gun-Yoo Shin, Dong-Wook Kim, Myung-Mook Han
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
machine learning
adversarial attacks
explainable
network intrusion detection system
deep neural networks (DNN)
adversarial robust
Online Access:https://www.mdpi.com/2076-3417/12/13/6451

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https://www.mdpi.com/2076-3417/12/13/6451

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