Marta Catillo

36 papers B 4C 5Misc 4Journal 12Unranked 11
YearRankTypeTitle / Venue / Authors
2026 — conf
Similarity Is Not Enough: Issues with Adversarial Perturbations of Traffic Features against Intrusion Detection Systems.
ICISSP (1)
Marta Catillo, Antonio Pecchia, Umberto Villano
2025 Misc conf
A Critique on the (Mis)Use of Feature-Space Attacks for Adversarial Machine Learning in NIDS.
EDCC
Marta Catillo, Antonio Pecchia, Antonio Repola, Umberto Villano
2025 — conf
Detection of Adversarial Examples by Adversarial Training: A Study on the Suitability of FGSM for Hardening NIDS Against Problem-Space Attacks.
ARES (EU Projects Symposium Workshops 2)
Marta Catillo, Antonio Pecchia, Umberto Villano
2025 — conf
Effects of topic modeling uncertainty on SPREADSHOT fake news diffusion analyses.
SNAMS
Carmela Bernardo, Pasquale Avella, Marta Catillo, Antonio Pecchia, Francesco Vasca, Umberto Villano
2025 J jnl
MultiCIDS: Anomaly-based collective intrusion detection by deep learning on IoT/CPS multivariate time series.
Internet Things
Marta Catillo, Antonio Pecchia, Umberto Villano
2025 J jnl
SPREADSHOT: Analysis of fake news spreading through topic modeling and bipartite weighted graphs.
Online Soc. Networks Media
Carmela Bernardo, Marta Catillo, Antonio Pecchia, Francesco Vasca, Umberto Villano
2025 C conf
Topic Modeling for Graph-Based Analysis of Fake News Diffusion.
WETICE
Pasquale Avella, Carmela Bernardo, Marta Catillo, Antonio Pecchia, Francesco Vasca, Umberto Villano
2025 — conf
USB-IDS-TC: A Flow-Based Intrusion Detection Dataset of DoS Attacks in Different Network Scenarios.
ICISSP (1)
Marta Catillo, Antonio Pecchia, Umberto Villano
2024 — conf
Bipartite Graph Modeling for the Analysis of Fake News Propagation.
ASONAM (Workshops)
Carmela Bernardo, Marta Catillo, Antonio Pecchia, Francesco Vasca, Umberto Villano
2024 — conf
DEFEDGE: Threat-Driven Security Testing and Proactive Defense Identification for Edge-Cloud Systems.
AINA (5)
Valentina Casola, Marta Catillo, Alessandra De Benedictis, Felice Moretta, Antonio Pecchia, Massimiliano Rak, Umberto Villano
2024 J jnl
Exploring the effect of training-time randomness on the performance of deep neural networks for intrusion detection.
Soft Comput.
Marta Catillo, Antonio Pecchia, Umberto Villano
2024 J jnl
Successful intrusion detection with a single deep autoencoder: theory and practice.
Softw. Qual. J.
Marta Catillo, Antonio Pecchia, Umberto Villano
2024 B conf
Towards realistic problem-space adversarial attacks against machine learning in network intrusion detection.
ARES
Marta Catillo, Antonio Pecchia, Antonio Repola, Umberto Villano
2023 B conf
A Case Study with CICIDS2017 on the Robustness of Machine Learning against Adversarial Attacks in Intrusion Detection.
ARES
Marta Catillo, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano
2023 J jnl
A survey on auto-scaling: how to exploit cloud elasticity.
Int. J. Grid Util. Comput.
Marta Catillo, Umberto Villano, Massimiliano Rak
2023 J jnl
CPS-GUARD: Intrusion detection for cyber-physical systems and IoT devices using outlier-aware deep autoencoders.
Comput. Secur.
Marta Catillo, Antonio Pecchia, Umberto Villano
2023 — conf
Machine Learning on Public Intrusion Datasets: Academic Hype or Concrete Advances in NIDS?
DSN-S
Marta Catillo, Antonio Pecchia, Umberto Villano
2023 C conf
Traditional vs Federated Learning with Deep Autoencoders: a Study in IoT Intrusion Detection.
CloudCom
Marta Catillo, Antonio Pecchia, Umberto Villano
2022 J jnl
AutoLog: Anomaly detection by deep autoencoding of system logs.
Expert Syst. Appl.
Marta Catillo, Antonio Pecchia, Umberto Villano
2022 B conf
Botnet Detection in the Internet of Things through All-in-one Deep Autoencoding.
ARES
Marta Catillo, Antonio Pecchia, Umberto Villano
2022 — conf
Message from the RSDA 2022 Workshop Chairs.
ISSRE Workshops
Raffaele Della Corte, Marta Catillo, João F. Ferreira, Guanpeng Li
2022 J jnl
No more DoS? An empirical study on defense techniques for web server Denial of Service mitigation.
J. Netw. Comput. Appl.
Marta Catillo, Antonio Pecchia, Umberto Villano
2022 Misc conf
Simpler Is Better: On the Use of Autoencoders for Intrusion Detection.
QUATIC
Marta Catillo, Antonio Pecchia, Umberto Villano
2022 J jnl
Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study.
Softw. Qual. J.
Marta Catillo, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano
2021 Misc conf
A Critique on the Use of Machine Learning on Public Datasets for Intrusion Detection.
QUATIC
Marta Catillo, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano
2021 J jnl
Black-box load testing to support auto-scaling web applications in the cloud.
Int. J. Grid Util. Comput.
Marta Catillo, Luciano Ocone, Umberto Villano, Massimiliano Rak
2021 J jnl
Demystifying the role of public intrusion datasets: A replication study of DoS network traffic data.
Comput. Secur.
Marta Catillo, Antonio Pecchia, Massimiliano Rak, Umberto Villano
2021 C conf
On the Quality of Network Flow Records for IDS Evaluation: A Collaborative Filtering Approach.
ICTSS
Marta Catillo, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano
2021 — conf
USB-IDS-1: a Public Multilayer Dataset of Labeled Network Flows for IDS Evaluation.
DSN Workshops
Marta Catillo, Andrea Del Vecchio, Luciano Ocone, Antonio Pecchia, Umberto Villano
2020 — conf
2L-ZED-IDS: A Two-Level Anomaly Detector for Multiple Attack Classes.
AINA Workshops
Marta Catillo, Massimiliano Rak, Umberto Villano
2020 B conf
A case study on the representativeness of public DoS network traffic data for cybersecurity research.
ARES
Marta Catillo, Antonio Pecchia, Massimiliano Rak, Umberto Villano
2020 C conf
Auto-scaling Applications in the Cloud by Simple Indexes with Complex Loads.
WETICE
Marta Catillo, Luciano Ocone, Massimiliano Rak, Umberto Villano
2020 C conf
Measurement-Based Analysis of a DoS Defense Module for an Open Source Web Server.
ICTSS
Marta Catillo, Antonio Pecchia, Umberto Villano
2020 Misc conf
Towards a Framework for Improving Experiments on DoS Attacks.
QUATIC
Marta Catillo, Antonio Pecchia, Umberto Villano
2019 — conf
Auto-scaling in the Cloud: Current Status and Perspectives.
3PGCIC
Marta Catillo, Massimiliano Rak, Umberto Villano
2019 J jnl
Discovery of DoS attacks by the ZED-IDS anomaly detector.
J. High Speed Networks
Marta Catillo, Massimiliano Rak, Umberto Villano