SoK: Realistic adversarial attacks and defenses for intelligent network intrusion detection

Author:

Vitorino JoãoORCID,Praça Isabel,Maia Eva

Funder

Fundação para a Ciência e a Tecnologia

European Regional Development Fund

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference110 articles.

1. Investigating adversarial attacks against network intrusion detection systems in SDNs;Aiken,2019

2. Web timeouts and their implications;Al-Qudah,2010

3. Deep learning for vulnerability and attack detection on web applications: a systematic literature review;Alaoui;Future Internet,2022

4. Understanding and improving fast adversarial training;Andriushchenko,2020

5. Adversarial attacks on machine learning cybersecurity defences in industrial control systems;Anthi;J. Inf. Secur. Appl.,2021

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1. Adversarial Attacks in Machine Learning: Key Insights and Defense Approaches;Applied Data Science and Analysis;2024-08-07

2. Towards realistic problem-space adversarial attacks against machine learning in network intrusion detection;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

3. Reliable feature selection for adversarially robust cyber-attack detection;Annals of Telecommunications;2024-06-07

4. Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network;International Journal of Information Security;2024-04-12

5. An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection;Lecture Notes in Computer Science;2024

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