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Marta Catillo, PhD
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Year
AutoLog: Anomaly detection by deep autoencoding of system logs
M Catillo, A Pecchia, U Villano
Expert Systems with Applications 191, 116263, 2022
492022
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
492020
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
342023
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
322022
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
272019
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
242021
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
212021
A deep learning method for lightweight and cross-device IoT botnet detection
M Catillo, A Pecchia, U Villano
Applied Sciences 13 (2), 837, 2023
172023
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
112020
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
92022
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
92022
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
82020
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
62020
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
42023
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
42021
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
42020
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
42019
A case study with CICIDS2017 on the robustness of machine learning against adversarial attacks in intrusion detection
M Catillo, A Del Vecchio, A Pecchia, U Villano
Proceedings of the 18th international conference on availability …, 2023
32023
A survey on auto-scaling: how to exploit cloud elasticity
M Catillo, U Villano, M Rak
International Journal of Grid and Utility Computing 14 (1), 37-50, 2023
32023
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
32022
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