Takip et
Giuseppe Aceto
Giuseppe Aceto
Associate Professor at University of Napoli "Federico II"
unina.it üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
10622020
Cloud monitoring: A survey
G Aceto, A Botta, W De Donato, A Pescapè
Computer Networks 57 (9), 2093-2115, 2013
8922013
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
5992018
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
4982019
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
4982019
MIMETIC: Mobile encrypted traffic classification using multimodal deep learning
G Aceto, D Ciuonzo, A Montieri, A Pescapè
Computer networks 165, 106944, 2019
2622019
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
2082018
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
1932020
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
1832018
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
1612021
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
1482021
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
1452010
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
129*2018
Toward effective mobile encrypted traffic classification through deep learning
G Aceto, D Ciuonzo, A Montieri, A Pescapé
Neurocomputing 409, 306-315, 2020
1282020
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
1112018
Internet censorship detection: A survey
G Aceto, A Pescapé
Computer Networks 83, 381-421, 2015
972015
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
902012
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
852019
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
782017
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
772021
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