Flexible zero trust architecture for the cybersecurity of industrial IoT infrastructures C Zanasi, S Russo, M Colajanni Ad Hoc Networks 156, 103414, 2024 | 34 | 2024 |
A zero trust approach for the cybersecurity of industrial control systems C Zanasi, F Magnanini, S Russo, M Colajanni 2022 IEEE 21st International Symposium on Network Computing and Applications …, 2022 | 13 | 2022 |
On the feasibility of adversarial machine learning in malware and network intrusion detection A Venturi, C Zanasi 2021 IEEE 20th International Symposium on Network Computing and Applications …, 2021 | 8 | 2021 |
Robustness evaluation of network intrusion detection systems based on sequential machine learning A Venturi, C Zanasi, M Marchetti, M Colajanni 2022 IEEE 21st International Symposium on Network Computing and Applications …, 2022 | 2 | 2022 |
Cybersecurity Domains: A design pattern for creating Zero Trust Architectures through microsegmentation C Zanasi, M Marchetti, M Colajanni 2024 IEEE Conference on Dependable, Autonomic and Secure Computing (DASC), 15-22, 2024 | | 2024 |
Autoencoder-Based Solution for Intrusion Detection in Industrial Control System S Russo, C Zanasi, I Marasco, M Colajanni Science and Information Conference, 530-543, 2024 | | 2024 |
Feature extraction for anomaly detection in industrial control systems S Russo, C Zanasi, I Marasco | | 2024 |
2024 IEEE Conference on Dependable, Autonomic and Secure Computing (DASC)| 979-8-3315-2272-8/24/$31.00© 2024 IEEE| DOI: 10.1109/DASC64200. 2024.00026 K Abe, M Aida, FJ Alagon, ER Aleluya, MZ Ali, M Budzys, K Cheng, S Clar, ... | | |