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Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification

Lookup NU author(s): Dr Essam GhadafiORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).

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Author(s): McCarthy A, Ghadafi E, Andriotis P, Legg P

Publication type: Article

Publication status: Published

Journal: Information Security and Applications

Year: 2023

Volume: 72

Print publication date: 01/02/2023

Online publication date: 17/12/2022

Acceptance date: 17/12/2022

Date deposited: 31/01/2025

ISSN (print): 2214-2126

ISSN (electronic): 2214-2134

Publisher: Elsevier

URL: https://doi.org/10.1016/j.jisa.2022.103398

DOI: 10.1016/j.jisa.2022.103398

Data Access Statement: To aid in replication of our results and further research, we provide the source in our repository: https://github.com/mccarthyajb/HL-NTAC

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