Antonio Montieri

University of Naples Federico II — Italy

Computer Science · Physical Sciences

26h-index3.1kcitations63works8.62yr avg
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Research Topics

Internet Traffic Analysis and Secure E-voting(37), Network Security and Intrusion Detection(32), Advanced Malware Detection Techniques(16), Software-Defined Networks and 5G(8), Anomaly Detection Techniques and Applications(8)

Publications63 total

Analyzing the impact of shifts in encrypted mobile-app traffic on multimodal few-shot learning
Computer Networks·2025Open Access
Enhancing Data Offloading in Urban Networks via Machine Learning-based Mobility Prediction
2025
Class Incremental Learning for Network-Agnostic Intrusion Detection Systems
2025
Forecasting Urban Tourism in Napoli: A Comparative Study of Machine and Deep Learning Models
2025
Explainable Predictive Analysis of the Economic and Financial Performance of Italian Publicly Owned Companies
2025
Mapping the Landscape of Generative AI in Network Monitoring and Management
IEEE Transactions on Network and Service Management·2025· 13 cited
Mapping the Landscape of Generative AI in Network Monitoring and Management
arXiv (Cornell University)·2025Open Access
From Prompts to Packets: A View from the Network on ChatGPT, Copilot, and Gemini
SSRN Electronic Journal·2025Open Access
A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection
IEEE Communications Surveys & Tutorials·2024· 32 citedOpen Access
Mirage-App×Act-2024: A Novel Dataset for Mobile App and Activity Traffic Analysis
2024· 1 cited
Classifying attack traffic in IoT environments via few-shot learning
Journal of Information Security and Applications·2024· 17 citedOpen Access
BlockSD‐5GNet: Enhancing security of 5G network through blockchain‐SDN with ML‐based bandwidth prediction
Transactions on Emerging Telecommunications Technologies·2024· 23 cited
Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps
IEEE Open Journal of the Communications Society·2024· 25 citedOpen Access
Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems
IEEE Open Journal of the Communications Society·2024· 10 citedOpen Access
IoT Botnet-Traffic Classification Using Few-Shot Learning
2023· 8 cited
AI-Powered Internet Traffic Classification: Past, Present, and Future
IEEE Communications Magazine·2023· 24 citedOpen Access
Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning
2023· 5 cited
Cross-Evaluation of Deep Learning-based Network Intrusion Detection Systems
2023· 6 cited
Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability
2023· 3 cited
Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples
2023· 10 cited
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Frequent Co-authors

Antonio Pescapè(50), Valerio Persico(31), Giuseppe Aceto(28), Domenico Ciuonzo(27), Giampaolo Bovenzi(10), Alfredo Nascita(9), Davide Di Monda(7), Idio Guarino(6), Anichur Rahman(3), Md. Jahidul Islam(3), Francesco Cerasuolo(3), Mostofa Kamal Nasir(2), Shahab S. Band(2), Habib Mostafaei(2), Dipanjali Kundu(2), Md. Razaul Karim(2), Alessio Botta(2), Pietro Marchetta(2), Ciro Guida(2), Md. Mahfuz Reza(1)