Synthetic and Privacy-Preserving Traffic Trace Generation using Generative AI Models for Training Network Intrusion Detection Systems

Author:

Giuseppe Aceto,Giampaolo Fabio,Guida Ciro,Izzo Stefano,Pescape Antonio,Piccialli Francesco,Prezioso Edoardo

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference56 articles.

1. Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study;M A Ferrag;Journal of Information Security and Applications,2020

2. Hierarchical classification of android malware traffic;G Bovenzi;2022 IEEE TrustCom International Workshop on Cyberspace Security and Artificial Intelligence (CAI)

3. Membership inference attacks against machine learning models;R Shokri;2017 IEEE symposium on security and privacy (SP),2017

4. Browsing unicity: On the limits of anonymizing web tracking data;C Deu�er;2020 IEEE Symposium on Security and Privacy (SP),2020

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