معرفی
Marta Catillo is a Researcher at the Department of Engineering (DING) of the University of Sannio (UNISANNIO). She specializes in Cybersecurity, with focus on Machine Learning applications for intrusion detection, IoT security, and cloud auto-scaling mechanisms. Her research addresses challenges in Denial of Service (DoS) mitigation, anomaly detection, and deep learning architectures for security.
- Teaching: [803004] PROGRAMMING 1 for Electronic and Biomedical Engineering students (2025 cohort)
- Contact: Office hours: Thursdays 3-5 PM, Room 23, Bosco Lucarelli Palace
Research trends: From 2019-2025 publications, her work spans adversarial attack resistance, collective anomaly detection, outlier-aware architectures, and empirical analysis of defense mechanisms, with recurring collaborations with Antonio Pecchia, Umberto Villano, and Massimiliano Rak. Key methodologies include deep autoencoders, hybrid detection systems, and measurement-based security evaluation.
Technical Contributions: Developed the ZED-IDS framework for zero-day threat detection, MultiCIDS for multivariate time series intrusion detection, and DEFEDGE for edge-cloud security testing.
