2L-ZED-IDS: A two-level anomaly detector for multiple attack classes M Catillo, M Rak, U Villano Web, Artificial Intelligence and Network Applications: Proceedings of the …, 2020 | 44 | 2020 |
AutoLog: Anomaly detection by deep autoencoding of system logs M Catillo, A Pecchia, U Villano Expert Systems with Applications 191, 116263, 2022 | 37 | 2022 |
Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study M Catillo, A Del Vecchio, A Pecchia, U Villano Software Quality Journal 30 (4), 955-981, 2022 | 27 | 2022 |
Discovery of DoS attacks by the ZED-IDS anomaly detector M Catillo, M Rak, U Villano Journal of High Speed Networks 25 (4), 349-365, 2019 | 27 | 2019 |
CPS-GUARD: Intrusion detection for cyber-physical systems and IoT devices using outlier-aware deep autoencoders M Catillo, A Pecchia, U Villano Computers & Security 129, 103210, 2023 | 24 | 2023 |
Demystifying the role of public intrusion datasets: a replication study of DoS network traffic data M Catillo, A Pecchia, M Rak, U Villano Computers & Security 108, 102341, 2021 | 22 | 2021 |
USB-IDS-1: a public multilayer dataset of labeled network flows for IDS evaluation M Catillo, A Del Vecchio, L Ocone, A Pecchia, U Villano 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021 | 20 | 2021 |
A deep learning method for lightweight and cross-device iot botnet detection M Catillo, A Pecchia, U Villano Applied Sciences 13 (2), 837, 2023 | 13 | 2023 |
Auto-scaling in the cloud: Current status and perspectives M Catillo, M Rak, U Villano Advances on P2P, Parallel, Grid, Cloud and Internet Computing: Proceedings …, 2020 | 10 | 2020 |
No more DoS? An empirical study on defense techniques for web server Denial of Service mitigation M Catillo, A Pecchia, U Villano Journal of Network and Computer Applications 202, 103363, 2022 | 9 | 2022 |
Botnet detection in the internet of things through all-in-one deep autoencoding M Catillo, A Pecchia, U Villano Proceedings of the 17th International Conference on Availability …, 2022 | 8 | 2022 |
Measurement-based analysis of a DoS defense module for an open source web server M Catillo, A Pecchia, U Villano Testing Software and Systems: 32nd IFIP WG 6.1 International Conference …, 2020 | 8 | 2020 |
Advances on P2P, Parallel, Grid, Cloud and Internet Computing: Proceedings of the 14th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2019) L Barolli, P Hellinckx, J Natwichai Springer Nature, 2019 | 7 | 2019 |
Machine Learning on Public Intrusion Datasets: Academic Hype or Concrete Advances in NIDS? M Catillo, A Pecchia, U Villano 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023 | 4 | 2023 |
Black-box load testing to support auto-scaling web applications in the cloud M Catillo, L Ocone, U Villano, M Rak International Journal of Grid and Utility Computing 12 (2), 139 - 148, 2021 | 4 | 2021 |
A case study on the representativeness of public DoS network traffic data for cybersecurity research M Catillo, A Pecchia, M Rak, U Villano Proceedings of the 15th International Conference on Availability …, 2020 | 4 | 2020 |
Web, artificial intelligence and network applications: proceedings of the workshops of the 34th international conference on advanced information networking and applications … L Barolli, F Amato, F Moscato, T Enokido, M Takizawa Springer Nature, 2020 | 4 | 2020 |
Simpler is better: On the use of autoencoders for intrusion detection M Catillo, A Pecchia, U Villano International Conference on the Quality of Information and Communications …, 2022 | 3 | 2022 |
Auto-scaling Applications in the Cloud by Simple Indexes with Complex Loads M Catillo, L Ocone, M Rak, U Villano 2020 IEEE 29th International Conference on Enabling Technologies …, 2020 | 3 | 2020 |
A critique on the use of machine learning on public datasets for intrusion detection M Catillo, A Del Vecchio, A Pecchia, U Villano Quality of Information and Communications Technology: 14th International …, 2021 | 2 | 2021 |