معرفی
Antonio Pecchia is a Researcher at the Department of Engineering within the University of Sannio. His work focuses on the dependability and security of distributed software systems, employing methodologies from deep learning, empirical software engineering, and operational data analysis to develop next-generation resilient systems.
- Academic Rank: Researcher
- University: University of Sannio
- School: College of Engineering
- Department: Department of Engineering
Research interests include:
- Deep Learning for anomaly detection and intrusion prevention
- Cybersecurity with emphasis on denial-of-service attacks, malware detection, and network traffic analysis
- Empirical Software Engineering for dependability evaluation and fault tolerance
- Parallel and Distributed Computing in mission-critical systems
His 15 most recent publications (2023–2025) demonstrate a consistent focus on:
- Intrusion detection using deep autoencoders and federated learning in IoT/CPS environments
- Critiques on the validity of public datasets like CICIDS2017 for cybersecurity research
- Fake news propagation analysis through topic modeling and bipartite graphs
- Proactive security testing frameworks like DEFEDGE for edge-cloud systems
Scientific contributions include:
- IEEE Member
- Founder of the International Workshop on Reliability and Security Data Analysis (RSDA)
- Guest Editor for IEEE Transactions on Dependable and Secure Computing
- Editor-in-Chief of the International Journal of Open Source Software and Process
Collaborations span institutions in Europe, Asia, and North America, with co-authors like Marta Catillo, Umberto Villano, and Domenico Cotroneo.
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