UANM: a platform for experimenting with available bandwidth estimation tools. - Giuseppe Aceto; Alessio Botta; Antonio Pescapè; Maurizio D'Arienzo (ISCC, 2010)

An efficient storage technique for network monitoring data. - Giuseppe Aceto; Alessio Botta; Antonio Pescapè; Cédric Westphal (M&N, 2011)

Cloud monitoring: Definitions, issues and future directions. - Giuseppe Aceto; Alessio Botta; Walter de Donato; Antonio Pescapè (CloudNet, 2012)

Open Source Platforms for Internet Monitoring and Measurement. - Giuseppe Aceto; Alessio Botta; Walter de Donato; Pietro Marchetta; Antonio Pescapè; Giorgio Ventre (SITIS, 2012)

Unified architecture for network measurement: The case of available bandwidth. - Giuseppe Aceto; Alessio Botta; Antonio Pescapè; Maurizio D'Arienzo (J. Netw. Comput. Appl., 2012)

On the recent use of email through traffic and network analysis: the impact of OSNs, new trends, and other communication platforms. - Giuseppe Aceto; Antonio Pescapè (SIGMETRICS Perform. Evaluation Rev., 2012)

Cloud monitoring: A survey. - Giuseppe Aceto; Alessio Botta; Walter de Donato; Antonio Pescapè (Comput. Networks, 2013)

D-ITG: Distributed Internet Traffic Generator. - Giuseppe Aceto; Alessio Botta; Walter de Donato; Antonio Pescapè (Prax. Inf.verarb. Kommun., 2013)

TIE: Traffic Identification Engine. - Giuseppe Aceto; Alberto Dainotti; Walter de Donato; Antonio Pescapè (Prax. Inf.verarb. Kommun., 2013)

Efficient Storage and Processing of High-Volume Network Monitoring Data. - Giuseppe Aceto; Alessio Botta; Antonio Pescapè; Cédric Westphal (IEEE Trans. Netw. Serv. Manag., 2013)

Active Techniques for Available Bandwidth Estimation: Comparison and Application. - Alessio Botta; Alan Davy; Brian Meskill; Giuseppe Aceto (Data Traffic Monitoring and Analysis, 2013)

Monitoring Internet censorship: the case of UBICA. - Giuseppe Aceto (2014)

Monitoring Internet Censorship with UBICA. - Giuseppe Aceto; Alessio Botta; Antonio Pescapè; Nick Feamster; Muhammad Faheem Awan; Tahir Ahmad; Saad B. Qaisar (TMA, 2015)

Internet Censorship detection: A survey. - Giuseppe Aceto; Antonio Pescapè (Comput. Networks, 2015)

Internet Censorship in Italy: A First Look at 3G/4G Networks. - Giuseppe Aceto; Antonio Montieri; Antonio Pescapè (CANS, 2016)

Analyzing internet censorship in Pakistan. - Giuseppe Aceto; Alessio Botta; Antonio Pescapè; Muhammad Faheem Awan; Tahir Ahmad; Saad B. Qaisar (RTSI, 2016)

Available bandwidth measurement in software defined networks. - Péter Megyesi; Alessio Botta; Giuseppe Aceto; Antonio Pescapè; Sándor Molnár (SAC, 2016)

A First Look at an Automated Pipeline for NGS-Based Breast-Cancer Diagnosis: The CArDIGAN Approach. - Giuseppe Aceto; Antonio Montieri; Valerio Persico; Antonio Pescapè; Valeria D'Argenio; Francesco Salvatore; Lucio Pastore (SITIS, 2016)

Traffic Classification of Mobile Apps through Multi-Classification. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Antonio Pescapè (GLOBECOM, 2017)

Internet censorship in Italy: An analysis of 3G/4G networks. - Giuseppe Aceto; Antonio Montieri; Antonio Pescapè (ICC, 2017)

An experimental evaluation of the impact of heterogeneous scenarios and virtualization on the available bandwidth estimation tools. - Giuseppe Aceto; Fabio Palumbo; Valerio Persico; Antonio Pescapè (M&N, 2017)

Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark. - Antonio Montieri; Domenico Ciuonzo; Giuseppe Aceto; Antonio Pescapè (ITC, 2017)

SOMETIME: Software defined network-basec Available Bandwidth measurement in MONROE. - Giuseppe Aceto; Valerio Persico; Antonio Pescapè; Giorgio Ventre (TMA, 2017)

Challenges and solution for measuring available bandwidth in software defined networks. - Péter Megyesi; Alessio Botta; Giuseppe Aceto; Antonio Pescapè; Sándor Molnár (Comput. Commun., 2017)

Measuring Networks Using IP Options. - Pietro Marchetta; Valerio Persico; Giuseppe Aceto; Alessio Botta; Antonio Pescapè (IEEE Netw., 2017)

Evaluation of SDN-based bandwidth estimation in Mobile Broad Band networks. - Giuseppe Aceto; Fabio Palumbo; Valerio Persico; Haiming Chen 002; Antonio Pescapè (APCC, 2018)

Available Bandwidth vs. Achievable Throughput Measurements in 4G Mobile Networks. - Giuseppe Aceto; Fabio Palumbo; Valerio Persico; Antonio Pescapè (CNSM, 2018)

Speeding-Up DPI Traffic Classification with Chaining. - Hossein Doroud; Giuseppe Aceto; Walter de Donato; Elnaz Alizadeh Jarchlo; Andrés Marín López; César D. Guerrero; Antonio Pescapè (GLOBECOM, 2018)

Mobile Encrypted Traffic Classification Using Deep Learning. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Antonio Pescapè (TMA, 2018)

A comprehensive survey on internet outages. - Giuseppe Aceto; Alessio Botta; Pietro Marchetta; Valerio Persico; Antonio Pescapè (J. Netw. Comput. Appl., 2018)

Multi-classification approaches for classifying mobile app traffic. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Antonio Pescapè (J. Netw. Comput. Appl., 2018)

The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges. - Giuseppe Aceto; Valerio Persico; Antonio Pescapè (J. Netw. Comput. Appl., 2018)

Characterizing Cloud-to-User Latency as Perceived by AWS and Azure Users Spread over the Globe. - Fabio Palumbo; Giuseppe Aceto; Alessio Botta; Domenico Ciuonzo; Valerio Persico; Antonio Pescapè (GLOBECOM, 2019)

MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Valerio Persico; Antonio Pescapè (ICCCS, 2019)

Wi-CR: Human Action Counting and Recognition with Wi-Fi Signals. - Xiwen Liu; Haiming Chen 002; Xianliang Jiang; Jiangbo Qian; Giuseppe Aceto; Antonio Pescapè (ICCCS, 2019)

TaRad: A Thing-Centric Sensing System for Detecting Activities of Daily Living. - Haiming Chen 002; Xiwen Liu; Ze Zhao; Giuseppe Aceto; Antonio Pescapè (IDCS, 2019)

Know your Big Data Trade-offs when Classifying Encrypted Mobile Traffic with Deep Learning. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Valerio Persico; Antonio Pescapè (TMA, 2019)

MIMETIC: Mobile encrypted traffic classification using multimodal deep learning. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Antonio Pescapè (Comput. Networks, 2019)

A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges. - Giuseppe Aceto; Valerio Persico; Antonio Pescapè (IEEE Commun. Surv. Tutorials, 2019)

Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Antonio Pescapè (IEEE Trans. Netw. Serv. Manag., 2019)

A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios. - Giampaolo Bovenzi; Giuseppe Aceto; Domenico Ciuonzo; Valerio Persico; Antonio Pescapè (GLOBECOM, 2020)

A network performance view of a biobanking system for diagnostic images. - Giusy Esposito; Giulio Pagliari; Gianluca Coppola; Marco Aiello 003; Marco Salvatore; Giuseppe Aceto; Antonio Pescapè (ISCC, 2020)

Performance-based service-level agreement in cloud computing to optimise penalties and revenue. - Afzal Badshah; Anwar Ghani; Shahaboddin Shamshirband; Giuseppe Aceto; Antonio Pescapè (IET Commun., 2020)

Toward effective mobile encrypted traffic classification through deep learning. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Antonio Pescapè (Neurocomputing, 2020)

Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0. - Giuseppe Aceto; Valerio Persico; Antonio Pescapè (J. Ind. Inf. Integr., 2020)

Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web). - Antonio Montieri; Domenico Ciuonzo; Giuseppe Aceto; Antonio Pescapè (IEEE Trans. Dependable Secur. Comput., 2020)

A Big Data-Enabled Hierarchical Framework for Traffic Classification. - Giampaolo Bovenzi; Giuseppe Aceto; Domenico Ciuonzo; Valerio Persico; Antonio Pescapè (IEEE Trans. Netw. Sci. Eng., 2020)

Classification of Communication and Collaboration Apps via Advanced Deep-Learning Approaches. - Idio Guarino; Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Valerio Persico; Antonio Pescapè (CAMAD, 2021)

Unveiling MIMETIC: Interpreting Deep Learning Traffic Classifiers via XAI Techniques. - Alfredo Nascita; Antonio Montieri; Giuseppe Aceto; Domenico Ciuonzo; Valerio Persico; Antonio Pescapè (CSR, 2021)

Encrypted Multitask Traffic Classification via Multimodal Deep Learning. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Alfredo Nascita; Antonio Pescapè (ICC, 2021)

Characterizing and Modeling Traffic of Communication and Collaboration Apps Bloomed With COVID-19 Outbreak. - Idio Guarino; Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Valerio Persico; Antonio Pescapè (RTSI, 2021)

Mobile Network Traffic Prediction Using High Order Markov Chains Trained At Multiple Granularity. - Idio Guarino; Alfredo Nascita; Giuseppe Aceto; Antonio Pescapè (RTSI, 2021)

A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification. - Giampaolo Bovenzi; Lixuan Yang; Alessandro Finamore; Domenico Ciuonzo; Giuseppe Aceto; Antonio Pescapè; Dario Rossi 001 (TMA, 2021)

Packet-level prediction of mobile-app traffic using multitask Deep Learning. - Antonio Montieri; Giampaolo Bovenzi; Giuseppe Aceto; Domenico Ciuonzo; Valerio Persico; Antonio Pescapè (Comput. Networks, 2021)

Characterization and analysis of cloud-to-user latency: The case of Azure and AWS. - Fabio Palumbo; Giuseppe Aceto; Alessio Botta; Domenico Ciuonzo; Valerio Persico; Antonio Pescapè (Comput. Networks, 2021)

DISTILLER: Encrypted traffic classification via multimodal multitask deep learning. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Antonio Pescapè (J. Netw. Comput. Appl., 2021)

Characterization and Prediction of Mobile-App Traffic Using Markov Modeling. - Giuseppe Aceto; Giampaolo Bovenzi; Domenico Ciuonzo; Antonio Montieri; Valerio Persico; Antonio Pescapè (IEEE Trans. Netw. Serv. Manag., 2021)

XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures. - Alfredo Nascita; Antonio Montieri; Giuseppe Aceto; Domenico Ciuonzo; Valerio Persico; Antonio Pescapè (IEEE Trans. Netw. Serv. Manag., 2021)

A First Look at Accurate Network Traffic Generation in Virtual Environments. - Giuseppe Aceto; Ciro Guida; Antonio Montieri; Valerio Persico; Antonio Pescapè (ISCC, 2022)

On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection. - Idio Guarino; Giampaolo Bovenzi; Davide Di Monda; Giuseppe Aceto; Domenico Ciuonzo; Antonio Pescapè (M&N, 2022)

Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic. - Idio Guarino; Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Valerio Persico; Antonio Pescapè (Comput. Networks, 2022)

MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Valerio Persico; Antonio Pescapè (IEEE DataPort, 2022)

Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability. - Idio Guarino; Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Valerio Persico; Antonio Pescapè (ICC, 2023)

Explainable Mobile Traffic Classification: the Case of Incremental Learning. - Alfredo Nascita; Francesco Cerasuolo; Giuseppe Aceto; Domenico Ciuonzo; Valerio Persico; Antonio Pescapè (SAFE@CoNEXT, 2023)

Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness. - Giampaolo Bovenzi; Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Valerio Persico; Antonio Pescapè (Comput. Secur., 2023)

Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI. - Alfredo Nascita; Antonio Montieri; Giuseppe Aceto; Domenico Ciuonzo; Valerio Persico; Antonio Pescapè (IEEE Trans. Netw. Serv. Manag., 2023)

Blockchain Performance in Industry 4.0: Drivers, use cases, and future directions. - Giampaolo Bovenzi; Giuseppe Aceto; Valerio Persico; Antonio Pescapè (J. Ind. Inf. Integr., 2023)

XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification. - Francesco Cerasuolo; Idio Guarino; Vincenzo Spadari; Giuseppe Aceto; Antonio Pescapè (IFIP Networking, 2024)

MEMENTO: A novel approach for class incremental learning of encrypted traffic. - Francesco Cerasuolo; Alfredo Nascita; Giampaolo Bovenzi; Giuseppe Aceto; Domenico Ciuonzo; Antonio Pescapè; Dario Rossi 001 (Comput. Networks, 2024)

Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems. - Giuseppe Aceto; Fabio Giampaolo; Ciro Guida; Stefano Izzo; Antonio Pescapè; Francesco Piccialli; Edoardo Prezioso (J. Netw. Comput. Appl., 2024)

Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps. - Idio Guarino; Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Valerio Persico; Antonio Pescapè (IEEE Open J. Commun. Soc., 2024)

Benchmarking Class Incremental Learning in Deep Learning Traffic Classification. - Giampaolo Bovenzi; Alfredo Nascita; Lixuan Yang; Alessandro Finamore; Giuseppe Aceto; Domenico Ciuonzo; Antonio Pescapè; Dario Rossi 001 (IEEE Trans. Netw. Serv. Manag., 2024)

AI-Powered Internet Traffic Classification: Past, Present, and Future. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Valerio Persico; Antonio Pescapè (IEEE Commun. Mag., 2024)