Marta Catillo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Intrusion Detection

False Positives And False Negatives

Network Traffic Data

Top Venues

Publications

Marta Catillo, Antonio Pecchia, Antonio Repola, Umberto Villano
Towards realistic problem-space adversarial attacks against machine learning in network intrusion detection. ARES (2024)
Marta Catillo, Antonio Pecchia, Umberto Villano
Successful intrusion detection with a single deep autoencoder: theory and practice. Softw. Qual. J. 32 (1) (2024)
Valentina Casola, Marta Catillo, Alessandra De Benedictis, Felice Moretta, Antonio Pecchia, Massimiliano Rak, Umberto Villano
DEFEDGE: Threat-Driven Security Testing and Proactive Defense Identification for Edge-Cloud Systems. AINA (5) (2024)
Marta Catillo, Antonio Pecchia, Umberto Villano
Exploring the effect of training-time randomness on the performance of deep neural networks for intrusion detection. Soft Comput. 28 (3) (2024)
Marta Catillo, Antonio Pecchia, Umberto Villano
CPS-GUARD: Intrusion detection for cyber-physical systems and IoT devices using outlier-aware deep autoencoders. Comput. Secur. 129 (2023)
Marta Catillo, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano
A Case Study with CICIDS2017 on the Robustness of Machine Learning against Adversarial Attacks in Intrusion Detection. ARES (2023)
Marta Catillo, Antonio Pecchia, Umberto Villano
Traditional vs Federated Learning with Deep Autoencoders: a Study in IoT Intrusion Detection. CloudCom (2023)
Marta Catillo, Umberto Villano, Massimiliano Rak
A survey on auto-scaling: how to exploit cloud elasticity. Int. J. Grid Util. Comput. 14 (1) (2023)
Marta Catillo, Antonio Pecchia, Umberto Villano
Machine Learning on Public Intrusion Datasets: Academic Hype or Concrete Advances in NIDS? DSN-S (2023)
Marta Catillo, Antonio Pecchia, Umberto Villano
AutoLog: Anomaly detection by deep autoencoding of system logs. Expert Syst. Appl. 191 (2022)
Marta Catillo, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano
Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study. Softw. Qual. J. 30 (4) (2022)
Raffaele Della Corte, Marta Catillo, João F. Ferreira, Guanpeng Li
Message from the RSDA 2022 Workshop Chairs. ISSRE Workshops (2022)
Marta Catillo, Antonio Pecchia, Umberto Villano
No more DoS? An empirical study on defense techniques for web server Denial of Service mitigation. J. Netw. Comput. Appl. 202 (2022)
Marta Catillo, Antonio Pecchia, Umberto Villano
Simpler Is Better: On the Use of Autoencoders for Intrusion Detection. QUATIC (2022)
Marta Catillo, Antonio Pecchia, Umberto Villano
Botnet Detection in the Internet of Things through All-in-one Deep Autoencoding. ARES (2022)
Marta Catillo, Luciano Ocone, Umberto Villano, Massimiliano Rak
Black-box load testing to support auto-scaling web applications in the cloud. Int. J. Grid Util. Comput. 12 (2) (2021)
Marta Catillo, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano
On the Quality of Network Flow Records for IDS Evaluation: A Collaborative Filtering Approach. ICTSS (2021)
Marta Catillo, Antonio Pecchia, Massimiliano Rak, Umberto Villano
Demystifying the role of public intrusion datasets: A replication study of DoS network traffic data. Comput. Secur. 108 (2021)
Marta Catillo, Andrea Del Vecchio, Luciano Ocone, Antonio Pecchia, Umberto Villano
USB-IDS-1: a Public Multilayer Dataset of Labeled Network Flows for IDS Evaluation. DSN Workshops (2021)
Marta Catillo, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano
A Critique on the Use of Machine Learning on Public Datasets for Intrusion Detection. QUATIC (2021)
Marta Catillo, Antonio Pecchia, Massimiliano Rak, Umberto Villano
A case study on the representativeness of public DoS network traffic data for cybersecurity research. ARES (2020)
Marta Catillo, Antonio Pecchia, Umberto Villano
Towards a Framework for Improving Experiments on DoS Attacks. QUATIC (2020)
Marta Catillo, Luciano Ocone, Massimiliano Rak, Umberto Villano
Auto-scaling Applications in the Cloud by Simple Indexes with Complex Loads. WETICE (2020)
Marta Catillo, Antonio Pecchia, Umberto Villano
Measurement-Based Analysis of a DoS Defense Module for an Open Source Web Server. ICTSS (2020)
Marta Catillo, Massimiliano Rak, Umberto Villano
2L-ZED-IDS: A Two-Level Anomaly Detector for Multiple Attack Classes. AINA Workshops (2020)
Marta Catillo, Massimiliano Rak, Umberto Villano
Auto-scaling in the Cloud: Current Status and Perspectives. 3PGCIC (2019)
Marta Catillo, Massimiliano Rak, Umberto Villano
Discovery of DoS attacks by the ZED-IDS anomaly detector. J. High Speed Networks 25 (4) (2019)