Integration of Cloud computing and Internet of Things: A survey A Botta, W de Donato, V Persico, A Pescapé Future Generation Computer Systems 56 (C), 684–700, 2016 | 3555 | 2016 |
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 | 886 | 2020 |
Cloud monitoring: A survey G Aceto, A Botta, W De Donato, A Pescapè Computer Networks 57 (9), 2093-2115, 2013 | 865 | 2013 |
Issues and future directions in traffic classification A Dainotti, A Pescape, KC Claffy IEEE network 26 (1), 35-40, 2012 | 756 | 2012 |
A tool for the generation of realistic network workload for emerging networking scenarios A Botta, A Dainotti, A Pescapé Computer Networks 56 (15), 3531-3547, 2012 | 597 | 2012 |
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 | 490 | 2018 |
Broadband internet performance: A view from the gateway S Sundaresan, W de Donato, N Feamster, R Teixeira, S Crawford, ... Proc. ACM SIGCOMM, Toronto, Ontario, Canada, 2011 | 459 | 2011 |
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 | 454 | 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 | 408 | 2019 |
Analysis of Country-Wide Internet Outages Caused by Censorship A Dainotti, C Squarcella, E Aben, KC Claffy, M Chiesa, M Russo, ... IEEE/ACM Transactions on Networking 22 (16), 202-209, 2014 | 335 | 2014 |
D-ITG distributed internet traffic generator S Avallone, S Guadagno, D Emma, A Pescape, G Ventre First International Conference on the Quantitative Evaluation of Systems …, 2004 | 307 | 2004 |
Multi-protocol and multi-platform traffic generation and measurement A Botta, A Dainotti, A Pescapè INFOCOM 2007 DEMO Session, 2007 | 239 | 2007 |
MIMETIC: Mobile encrypted traffic classification using multimodal deep learning G Aceto, D Ciuonzo, A Montieri, A Pescapè Computer networks 165, 106944, 2019 | 236 | 2019 |
A Consensus-Based Approach for Platooning with Inter-Vehicular Communications and its Validation in Realistic Scenarios S Santini, A Salvi, AS Valente, A Pescape, M Segata, RL Cigno IEEE Transactions on Vehicular Technology, 2016 | 215 | 2016 |
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 | 193 | 2018 |
Analysis of a “/0” Stealth Scan from a Botnet A Dainotti, A King, kc Claffy, F Papale, A Pescapé | 183 | 2012 |
Precision medicine and artificial intelligence: a pilot study on deep learning for hypoglycemic events detection based on ECG M Porumb, S Stranges, A Pescapè, L Pecchia Scientific reports 10 (1), 170, 2020 | 181 | 2020 |
Measuring home broadband performance S Sundaresan, W De Donato, N Feamster, R Teixeira, S Crawford, ... Communications of the ACM 55 (11), 100-109, 2012 | 172* | 2012 |
A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios G Bovenzi, G Aceto, D Ciuonzo, V Persico, A Pescape' IEEE Global Communications Conference (Globecom), 2020 | 167 | 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 | 165 | 2018 |