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Giuseppe Aceto
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2020 – today
- 2024
- [j34]Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri
, Valerio Persico, Antonio Pescapè:
AI-Powered Internet Traffic Classification: Past, Present, and Future. IEEE Commun. Mag. 62(9): 168-175 (2024) - [j33]Francesco Cerasuolo
MEMENTO: A novel approach for class incremental learning of encrypted traffic. Comput. Networks 245: 110374 (2024) - [j32]Giuseppe Aceto
Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems. J. Netw. Comput. Appl. 229: 103926 (2024) - [j31]Idio Guarino
Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps. IEEE Open J. Commun. Soc. 5: 1299-1324 (2024) - [j30]Giampaolo Bovenzi
Benchmarking Class Incremental Learning in Deep Learning Traffic Classification. IEEE Trans. Netw. Serv. Manag. 21(1): 51-69 (2024) - [c36]Francesco Cerasuolo
XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification. IFIP Networking 2024: 757-762 - 2023
- [j29]Giampaolo Bovenzi
Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness. Comput. Secur. 128: 103167 (2023) - [j28]Giampaolo Bovenzi
Blockchain Performance in Industry 4.0: Drivers, use cases, and future directions. J. Ind. Inf. Integr. 36: 100513 (2023) - [j27]Alfredo Nascita
Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI. IEEE Trans. Netw. Serv. Manag. 20(2): 1267-1289 (2023) - [c35]Idio Guarino
Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability. ICC 2023: 1609-1615 - [c34]Alfredo Nascita
Explainable Mobile Traffic Classification: the Case of Incremental Learning. SAFE@CoNEXT 2023: 25-31 - 2022
- [j26]Idio Guarino
Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic. Comput. Networks 219: 109452 (2022) - [c33]Giuseppe Aceto, Ciro Guida
A First Look at Accurate Network Traffic Generation in Virtual Environments. ISCC 2022: 1-6 - [c32]Idio Guarino
On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection. M&N 2022: 1-6 - [d1]Giuseppe Aceto
MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation. IEEE DataPort, 2022 - 2021
- [j25]Fabio Palumbo, Giuseppe Aceto, Alessio Botta, Domenico Ciuonzo
Characterization and analysis of cloud-to-user latency: The case of Azure and AWS. Comput. Networks 184: 107693 (2021) - [j24]Antonio Montieri
Packet-level prediction of mobile-app traffic using multitask Deep Learning. Comput. Networks 200: 108529 (2021) - [j23]Giuseppe Aceto, Domenico Ciuonzo
DISTILLER: Encrypted traffic classification via multimodal multitask deep learning. J. Netw. Comput. Appl. 183-184: 102985 (2021) - [j22]Giuseppe Aceto
Characterization and Prediction of Mobile-App Traffic Using Markov Modeling. IEEE Trans. Netw. Serv. Manag. 18(1): 907-925 (2021) - [j21]Alfredo Nascita
XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures. IEEE Trans. Netw. Serv. Manag. 18(4): 4225-4246 (2021) - [c31]Idio Guarino
Classification of Communication and Collaboration Apps via Advanced Deep-Learning Approaches. CAMAD 2021: 1-6 - [c30]Alfredo Nascita, Antonio Montieri
Unveiling MIMETIC: Interpreting Deep Learning Traffic Classifiers via XAI Techniques. CSR 2021: 455-460 - [c29]Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri
Encrypted Multitask Traffic Classification via Multimodal Deep Learning. ICC 2021: 1-6 - [c28]Idio Guarino
Mobile Network Traffic Prediction Using High Order Markov Chains Trained At Multiple Granularity. RTSI 2021: 394-399 - [c27]Idio Guarino
Characterizing and Modeling Traffic of Communication and Collaboration Apps Bloomed With COVID-19 Outbreak. RTSI 2021: 400-405 - [c26]Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore, Domenico Ciuonzo, Giuseppe Aceto, Antonio Pescapè, Dario Rossi:
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification. TMA 2021 - [i1]Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi:
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification. CoRR abs/2107.04464 (2021) - 2020
- [j20]Afzal Badshah
Performance-based service-level agreement in cloud computing to optimise penalties and revenue. IET Commun. 14(7): 1102-1112 (2020) - [j19]Giuseppe Aceto, Domenico Ciuonzo
Toward effective mobile encrypted traffic classification through deep learning. Neurocomputing 409: 306-315 (2020) - [j18]Giuseppe Aceto, Valerio Persico, Antonio Pescapè:
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0. J. Ind. Inf. Integr. 18: 100129 (2020) - [j17]Antonio Montieri
Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web). IEEE Trans. Dependable Secur. Comput. 17(3): 662-675 (2020) - [j16]Giampaolo Bovenzi
A Big Data-Enabled Hierarchical Framework for Traffic Classification. IEEE Trans. Netw. Sci. Eng. 7(4): 2608-2619 (2020) - [c25]Giampaolo Bovenzi
A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios. GLOBECOM 2020: 1-7 - [c24]Giusy Esposito, Giulio Pagliari, Gianluca Coppola, Marco Aiello
A network performance view of a biobanking system for diagnostic images. ISCC 2020: 1-7
2010 – 2019
- 2019
- [j15]Giuseppe Aceto, Domenico Ciuonzo
MIMETIC: Mobile encrypted traffic classification using multimodal deep learning. Comput. Networks 165 (2019) - [j14]Giuseppe Aceto
A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges. IEEE Commun. Surv. Tutorials 21(4): 3467-3501 (2019) - [j13]Giuseppe Aceto
Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges. IEEE Trans. Netw. Serv. Manag. 16(2): 445-458 (2019) - [c23]Fabio Palumbo, Giuseppe Aceto, Alessio Botta, Domenico Ciuonzo
Characterizing Cloud-to-User Latency as Perceived by AWS and Azure Users Spread over the Globe. GLOBECOM 2019: 1-6 - [c22]Giuseppe Aceto, Domenico Ciuonzo
MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation. ICCCS 2019: 1-8 - [c21]Xiwen Liu, Haiming Chen, Xianliang Jiang, Jiangbo Qian, Giuseppe Aceto, Antonio Pescapè:
Wi-CR: Human Action Counting and Recognition with Wi-Fi Signals. ICCCS 2019: 1-8 - [c20]Haiming Chen, Xiwen Liu, Ze Zhao, Giuseppe Aceto, Antonio Pescapè:
TaRad: A Thing-Centric Sensing System for Detecting Activities of Daily Living. IDCS 2019: 357-368 - [c19]Giuseppe Aceto, Domenico Ciuonzo
Know your Big Data Trade-offs when Classifying Encrypted Mobile Traffic with Deep Learning. TMA 2019: 121-128 - 2018
- [j12]Giuseppe Aceto, Domenico Ciuonzo
Multi-classification approaches for classifying mobile app traffic. J. Netw. Comput. Appl. 103: 131-145 (2018) - [j11]Giuseppe Aceto, Valerio Persico
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges. J. Netw. Comput. Appl. 107: 125-154 (2018) - [j10]Giuseppe Aceto, Alessio Botta
A comprehensive survey on internet outages. J. Netw. Comput. Appl. 113: 36-63 (2018) - [c18]Giuseppe Aceto, Fabio Palumbo, Valerio Persico, Haiming Chen, Antonio Pescapè:
Evaluation of SDN-based bandwidth estimation in Mobile Broad Band networks. APCC 2018: 263-268 - [c17]Giuseppe Aceto, Fabio Palumbo, Valerio Persico, Antonio Pescapè:
Available Bandwidth vs. Achievable Throughput Measurements in 4G Mobile Networks. CNSM 2018: 125-133 - [c16]Hossein Doroud, Giuseppe Aceto, Walter de Donato, Elnaz Alizadeh Jarchlo, Andrés Marín López
Speeding-Up DPI Traffic Classification with Chaining. GLOBECOM 2018: 1-6 - [c15]Giuseppe Aceto, Domenico Ciuonzo
Mobile Encrypted Traffic Classification Using Deep Learning. TMA 2018: 1-8 - 2017
- [j9]Péter Megyesi, Alessio Botta
Challenges and solution for measuring available bandwidth in software defined networks. Comput. Commun. 99: 48-61 (2017) - [j8]Pietro Marchetta, Valerio Persico
Measuring Networks Using IP Options. IEEE Netw. 31(3): 30-36 (2017) - [c14]Giuseppe Aceto, Domenico Ciuonzo
Traffic Classification of Mobile Apps through Multi-Classification. GLOBECOM 2017: 1-6 - [c13]Giuseppe Aceto, Antonio Montieri
Internet censorship in Italy: An analysis of 3G/4G networks. ICC 2017: 1-6 - [c12]Giuseppe Aceto, Fabio Palumbo, Valerio Persico
An experimental evaluation of the impact of heterogeneous scenarios and virtualization on the available bandwidth estimation tools. M&N 2017: 1-6 - [c11]Antonio Montieri
Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark. ITC 2017: 81-89 - [c10]Giuseppe Aceto, Valerio Persico
SOMETIME: Software defined network-basec Available Bandwidth measurement in MONROE. TMA 2017: 1-6 - 2016
- [c9]Giuseppe Aceto, Antonio Montieri
Internet Censorship in Italy: A First Look at 3G/4G Networks. CANS 2016: 737-742 - [c8]Giuseppe Aceto, Alessio Botta
Analyzing internet censorship in Pakistan. RTSI 2016: 1-6 - [c7]Péter Megyesi, Alessio Botta
Available bandwidth measurement in software defined networks. SAC 2016: 651-657 - [c6]Giuseppe Aceto, Antonio Montieri
A First Look at an Automated Pipeline for NGS-Based Breast-Cancer Diagnosis: The CArDIGAN Approach. SITIS 2016: 507-514 - 2015
- [j7]Giuseppe Aceto, Antonio Pescapè:
Internet Censorship detection: A survey. Comput. Networks 83: 381-421 (2015) - [c5]Giuseppe Aceto, Alessio Botta
Monitoring Internet Censorship with UBICA. TMA 2015: 143-157 - 2013
- [j6]Giuseppe Aceto, Alessio Botta
Cloud monitoring: A survey. Comput. Networks 57(9): 2093-2115 (2013) - [j5]Giuseppe Aceto, Alberto Dainotti, Walter de Donato, Antonio Pescapè:
TIE: Traffic Identification Engine. Prax. Inf.verarb. Kommun. 36(1): 48 (2013) - [j4]Giuseppe Aceto, Alessio Botta, Walter de Donato, Antonio Pescapè:
D-ITG: Distributed Internet Traffic Generator. Prax. Inf.verarb. Kommun. 36(1): 49 (2013) - [j3]Giuseppe Aceto, Alessio Botta
Efficient Storage and Processing of High-Volume Network Monitoring Data. IEEE Trans. Netw. Serv. Manag. 10(2): 162-175 (2013) - [p1]Alessio Botta, Alan Davy
Active Techniques for Available Bandwidth Estimation: Comparison and Application. Data Traffic Monitoring and Analysis 2013: 28-43 - 2012
- [j2]Giuseppe Aceto, Alessio Botta
Unified architecture for network measurement: The case of available bandwidth. J. Netw. Comput. Appl. 35(5): 1402-1414 (2012) - [j1]Giuseppe Aceto, Antonio Pescapè:
On the recent use of email through traffic and network analysis: the impact of OSNs, new trends, and other communication platforms. SIGMETRICS Perform. Evaluation Rev. 39(4): 61-70 (2012) - [c4]Giuseppe Aceto, Alessio Botta
Cloud monitoring: Definitions, issues and future directions. CloudNet 2012: 63-67 - [c3]Giuseppe Aceto, Alessio Botta
Open Source Platforms for Internet Monitoring and Measurement. SITIS 2012: 563-570 - 2011
- [c2]Giuseppe Aceto, Alessio Botta
An efficient storage technique for network monitoring data. M&N 2011: 152-157 - 2010
- [c1]Giuseppe Aceto, Alessio Botta
UANM: a platform for experimenting with available bandwidth estimation tools. ISCC 2010: 174-179
Coauthor Index
[j34] [j33] [j32] [j31] [j30] [c36] [j29] [j28] [j27] [c35] [c34] [j26] [c33] [c32] [d1] [j25] [j24] [j23] [j22] [j21] [c31] [c30] [c29] [c28] [c27] [c26] [i1] [j20] [j19] [j18] [j17] [j16] [c25] [c24] [j15] [j14] [j13] [c23] [c22] [c21] [c20] [c19] [j12] [j11] [j10] [c18] [c17] [c16] [c15] [j9] [j8] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [j7] [c5] [j6] [j5] [j4] [j3] [j2] [j1] [c4] [c3] [c2] [c1]
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last updated on 2024-12-10 21:45 CET by the dblp team
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