Investigating on the robustness of flow-based intrusion detection system against adversarial samples using Generative Adversarial Networks

Author:

Duy Phan TheORCID,Khoa Nghi HoangORCID,Hien Do Thi ThuORCID,Hoang Hien Do,Pham Van-HauORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference84 articles.

1. A detailed investigation and analysis of using machine learning techniques for intrusion detection;Mishra;IEEE Commun Surv Tutor,2019

2. Sommer R, Paxson V. Outside the closed world: On using machine learning for network intrusion detection. In: 2010 IEEE symposium on security and privacy. 2010.

3. Adversarial attacks and defenses in deep learning;Ren;Engineering,2020

4. Adversarial machine learning attacks and defense methods in the cyber security domain;Rosenberg;ACM Comput Surv,2021

5. The threat of adversarial attacks on machine learning in network security - A survey;Ibitoye,2019

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