| Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0 G Aceto, V Persico, A Pescapé Journal of Industrial Information Integration 18, 100129, 2020 | 875 | 2020 |
| Cloud monitoring: A survey G Aceto, A Botta, W De Donato, A Pescapè Computer Networks 57 (9), 2093-2115, 2013 | 864 | 2013 |
| The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges G Aceto, V Persico, A Pescapé Journal of Network and Computer Applications 107, 125-154, 2018 | 486 | 2018 |
| Mobile encrypted traffic classification using deep learning: Experimental evaluation, lessons learned, and challenges G Aceto, D Ciuonzo, A Montieri, A Pescapé IEEE transactions on network and service management 16 (2), 445-458, 2019 | 448 | 2019 |
| A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges G Aceto, V Persico, A Pescapé IEEE Communications Surveys & Tutorials 21 (4), 3467-3501, 2019 | 403 | 2019 |
| MIMETIC: Mobile encrypted traffic classification using multimodal deep learning G Aceto, D Ciuonzo, A Montieri, A Pescapè Computer networks 165, 106944, 2019 | 236 | 2019 |
| Multi-classification approaches for classifying mobile app traffic G Aceto, D Ciuonzo, A Montieri, A Pescapé Journal of Network and Computer Applications 103, 131-145, 2018 | 195 | 2018 |
| A hierarchical hybrid intrusion detection approach in IoT scenarios G Bovenzi, G Aceto, D Ciuonzo, V Persico, A Pescapé GLOBECOM 2020-2020 IEEE global communications conference, 1-7, 2020 | 168 | 2020 |
| Mobile encrypted traffic classification using deep learning G Aceto, D Ciuonzo, A Montieri, A Pescapé 2018 Network traffic measurement and analysis conference (TMA), 1-8, 2018 | 166 | 2018 |
| PortLoad: taking the best of two worlds in traffic classification G Aceto, A Dainotti, W De Donato, A Pescapè INFOCOM IEEE Conference on Computer Communications Workshops, 2010, 1-5, 2010 | 135 | 2010 |
| DISTILLER: Encrypted traffic classification via multimodal multitask deep learning G Aceto, D Ciuonzo, A Montieri, A Pescapé Journal of Network and Computer Applications 183, 102985, 2021 | 130 | 2021 |
| XAI meets mobile traffic classification: Understanding and improving multimodal deep learning architectures A Nascita, A Montieri, G Aceto, D Ciuonzo, V Persico, A Pescapé IEEE Transactions on Network and Service Management 18 (4), 4225-4246, 2021 | 127 | 2021 |
| Toward effective mobile encrypted traffic classification through deep learning G Aceto, D Ciuonzo, A Montieri, A Pescapé Neurocomputing 409, 306-315, 2020 | 111 | 2020 |
| Anonymity services tor, i2p, jondonym: classifying in the dark (web) A Montieri, D Ciuonzo, G Aceto, A Pescape IEEE Transactions on Dependable and Secure Computing 17 (3), 662-675, 2018 | 111* | 2018 |
| A comprehensive survey on internet outages G Aceto, A Botta, P Marchetta, V Persico, A Pescapé Journal of Network and Computer Applications 113, 36-63, 2018 | 98 | 2018 |
| Internet censorship detection: A survey G Aceto, A Pescapé Computer Networks 83, 381-421, 2015 | 90 | 2015 |
| Cloud monitoring: Definitions, issues and future directions G Aceto, A Botta, W De Donato, A Pescapè 2012 IEEE 1st International conference on cloud networking (CLOUDNET), 63-67, 2012 | 88 | 2012 |
| Challenges and solution for measuring available bandwidth in software defined networks P Megyesi, A Botta, G Aceto, A Pescapé, S Molnár Computer Communications 99, 48-61, 2017 | 76 | 2017 |
| MIRAGE: Mobile-app traffic capture and ground-truth creation G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapé 2019 4th International conference on computing, communications and security …, 2019 | 71 | 2019 |
| Characterization and prediction of mobile-app traffic using Markov modeling G Aceto, G Bovenzi, D Ciuonzo, A Montieri, V Persico, A Pescapé IEEE Transactions on Network and Service Management 18 (1), 907-925, 2021 | 64 | 2021 |
Antonio PescapèProfessor, University of Napoli Federico II / Università di Napoli Federico II在 unina.it 的电子邮件经过验证
