Antonio Pecchia

I am Associate Professor at the University of Sannio, Benevento, Italy and Chair of the Degree Programme in Computer Engineering since Nov 1, 2025.

I teach Operating Systems (BS), Data Science (MS) and Deep Learning (Ph.D. programme). I co-founded the Critiware company in 2011.

Until December 2019 I was at the Federico II University of Naples, Italy, where I got my Ph.D. in Computer Engineering (2011). I joined the University of Sannio as Assistant Professor with Tenure track (2020-2022), and then became Associate Professor in 2023. I was a visiting researcher at the University of Illinois at Urbana-Champaign, USA (2010-2011). Over the years, I spent some industrial periods at Critical Software (Portugal), Deiser (Spain) and Assioma (Italy) and had the chance to collaborate with top-tier companies, such as Leonardo (Italy) and Infosys (India), in the context of EU projects are other public-private initiatives.

Research topics: security, attacks and network datasets; analysis of metrics and system logs; machine, transfer and federated learning; anomaly and intrusion detection; adversarial attacks against ML-based NIDS; reproducible deep learning; performance of services and Cloud systems.

I regularly contribute to the scientific community. Recent service: Industry Track co-chair (DSN 2026), TPC Member (DSN 2026, EDCC 2026), Workshop Chair (EDCC 2025), Track chair (Safe, Secure and Robust AI-SAC 2025 and 2024), Publicity co-chair (DSN 2024), Workshop organizer (DCDS-DSN 2023), TPC Member (DSN Industry track 2022-2024, ISSRE Industry track 2014-2026, EDCC 2024 Student forum, ICTSS 2023, CLOUDCOM 2023). I have been Guest editor for a special issue of the IEEE Transactions on Dependable and Secure Computing. I founded the Reliability and Security Data Analysis workshop (seven editions so far).

Last update: March, 2026.

Tesi e tirocini (MS degree)

If you are motivated to work on any of the topics above and their applications to security, performance and resilience of computer networks, IoT and Cloud systems (or just curious to learn more) feel free to send me an email at antonio.pecchia@unisannio.it to schedule a meeting.

Our public network datasets (USB-IDS-TC and USB-IDS-1)

Over the years we developed well-curated network datasets of normal and DoS traffic in several operating settings (e.g., server configurations and networks). The datasets are free to download and use for research purposes. Please report any feedback.

Recent funded project (PRIN 2022 PNRR) - closed

The Federico II U. of Naples, the U. of Sannio and the U. of Campania conducted a two-year project Threat-driven security testing and proactive defense identification for edge-cloud systems under the PRIN 2022 PNRR program. Start: Nov. 30, 2023; End: Nov. 29, 2025.

Featured research paper (Open access)

SPREADSHOT: Analysis of fake news spreading through topic modeling and bipartite weighted graphs. C. Bernardo, M., Catillo, A. Pecchia, F. Vasca, U. Villano, Online Social Networks and Media, 49, art. no. 100324 (2025).

Featured research paper (Open access)

MultiCIDS: Anomaly-based collective intrusion detection by deep learning on IoT/CPS multivariate time series. M. Catillo, A. Pecchia, U. Villano, Internet of Things, 30, art. no. 101519 (2025).