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Antonio Pescapè
Antonio Pescapè
Professor, University of Napoli Federico II / Università di Napoli Federico II
Verificeret mail på unina.it - Startside
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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
36492016
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
9442020
Cloud monitoring: A survey
G Aceto, A Botta, W De Donato, A Pescapè
Computer Networks 57 (9), 2093-2115, 2013
8772013
Issues and future directions in traffic classification
A Dainotti, A Pescape, KC Claffy
IEEE network 26 (1), 35-40, 2012
7722012
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
6042012
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
5272018
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
4692019
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
4642011
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
4342019
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
3422014
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
3152004
MIMETIC: Mobile encrypted traffic classification using multimodal deep learning
G Aceto, D Ciuonzo, A Montieri, A Pescapè
Computer networks 165, 106944, 2019
2502019
Multi-protocol and multi-platform traffic generation and measurement
A Botta, A Dainotti, A Pescapè
INFOCOM 2007 DEMO Session, 2007
2422007
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
2182016
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
1992018
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
1882020
Analysis of a “/0” Stealth Scan from a Botnet
A Dainotti, A King, kc Claffy, F Papale, A Pescapé
1882012
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
182*2021
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
1792020
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
1792018
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Artikler 1–20