Sfoglia per Autore
Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps
2024 Guarino, I.; Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape', A.
AI-powered Internet Traffic Classification: Past, Present, and Future
2023 Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape', A.
S-FoS: A secure workflow scheduling approach for performance optimization in SDN-based IoT-Fog networks
2023 Javanmardi, S.; Shojafar, M.; Mohammadi, R.; Persico, V.; Pescape, A.
Explainable Mobile Traffic Classification: the Case of Incremental Learning
2023 Nascita, Alfredo; Cerasuolo, Francesco; Aceto, Giuseppe; Ciuonzo, Domenico; Persico, Valerio; Pescape, Antonio
Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples
2023 Bovenzi, G.; Di Monda, D.; Montieri, A.; Persico, V.; Pescape', A.
Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability
2023 Guarino, I.; Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape', A.
IoT Botnet-Traffic Classification Using Few-Shot Learning
2023 Di Monda, D.; Bovenzi, G.; Montieri, A.; Persico, V.; Pescape', A.
Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness
2023 Bovenzi, G.; Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape', Antonio
Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI
2023 Nascita, Alfredo; Montieri, Antonio; Aceto, Giuseppe; Ciuonzo, Domenico; Persico, Valerio; Pescape, Antonio
Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning
2022 Pappone, L.; Cerasuolo, F.; Persico, V.; Ciuonzo, D.; Pescape, Antonio; Esposito, F.
A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic
2022 Bovenzi, G.; Cerasuolo, F.; Montieri, A.; Nascita, A.; Persico, V.; Pescape', A.
Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis
2022 Bovenzi, Giampaolo; Foggia, Alessio; Santella, Salvatore; Testa, Alessandro; Persico, Valerio; Pescape, Antonio
Hierarchical Classification of Android Malware Traffic
2022 Bovenzi, G.; Persico, V.; Pescape', A.; Piscitelli, A.; Spadari, V.
A First Look at Accurate Network Traffic Generation in Virtual Environments
2022 Aceto, Giuseppe; Guida, Ciro; Montieri, Antonio; Persico, Valerio; Pescape, Antonio
Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic
2022 Guarino, I.; Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape, Antonio
Classification of Communication and Collaboration Apps via Advanced Deep-Learning Approaches
2021 Guarino, I.; Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape, A.
FPFTS: A joint fuzzy particle swarm optimization mobility-aware approach to fog task scheduling algorithm for Internet of Things devices
2021 Javanmardi, S.; Shojafar, M.; Persico, V.; Pescapè, Antonio.
Packet-level prediction of mobile-app traffic using multitask Deep Learning
2021 Montieri, A.; Bovenzi, G.; Aceto, G.; Ciuonzo, D.; Persico, V.; Pescape, A.
Unveiling MIMETIC: Interpreting deep learning traffic classifiers via XAI techniques
2021 Nascita, A.; Montieri, A.; Aceto, G.; Ciuonzo, D.; Persico, V.; Pescape, A.
FUPE: A security driven task scheduling approach for SDN-based IoT-Fog networks
2021 Javanmardi, Saeed; Shojafar, Mohammad; Mohammadi, Reza; Nazari, Amin; Persico, Valerio; Pescape', Antonio
Titolo | Tipologia | Data di pubblicazione | Autore(i) | File |
---|---|---|---|---|
Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps | 1.1 Articolo in rivista | 2024 | Guarino, I.; Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape', A. | |
AI-powered Internet Traffic Classification: Past, Present, and Future | 1.1 Articolo in rivista | 2023 | Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape', A. | |
S-FoS: A secure workflow scheduling approach for performance optimization in SDN-based IoT-Fog networks | 1.1 Articolo in rivista | 2023 | Javanmardi, S.; Shojafar, M.; Mohammadi, R.; Persico, V.; Pescape, A. | |
Explainable Mobile Traffic Classification: the Case of Incremental Learning | 4.1 Articoli in Atti di convegno | 2023 | Nascita, Alfredo; Cerasuolo, Francesco; Aceto, Giuseppe; Ciuonzo, Domenico; Persico, Valerio; Pescape, Antonio | |
Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples | 4.1 Articoli in Atti di convegno | 2023 | Bovenzi, G.; Di Monda, D.; Montieri, A.; Persico, V.; Pescape', A. | |
Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability | 4.1 Articoli in Atti di convegno | 2023 | Guarino, I.; Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape', A. | |
IoT Botnet-Traffic Classification Using Few-Shot Learning | 4.1 Articoli in Atti di convegno | 2023 | Di Monda, D.; Bovenzi, G.; Montieri, A.; Persico, V.; Pescape', A. | |
Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness | 1.1 Articolo in rivista | 2023 | Bovenzi, G.; Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape', Antonio | |
Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI | 1.1 Articolo in rivista | 2023 | Nascita, Alfredo; Montieri, Antonio; Aceto, Giuseppe; Ciuonzo, Domenico; Persico, Valerio; Pescape, Antonio | |
Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning | 4.1 Articoli in Atti di convegno | 2022 | Pappone, L.; Cerasuolo, F.; Persico, V.; Ciuonzo, D.; Pescape, Antonio; Esposito, F. | |
A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic | 4.1 Articoli in Atti di convegno | 2022 | Bovenzi, G.; Cerasuolo, F.; Montieri, A.; Nascita, A.; Persico, V.; Pescape', A. | |
Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis | 4.1 Articoli in Atti di convegno | 2022 | Bovenzi, Giampaolo; Foggia, Alessio; Santella, Salvatore; Testa, Alessandro; Persico, Valerio; Pescape, Antonio | |
Hierarchical Classification of Android Malware Traffic | 4.1 Articoli in Atti di convegno | 2022 | Bovenzi, G.; Persico, V.; Pescape', A.; Piscitelli, A.; Spadari, V. | |
A First Look at Accurate Network Traffic Generation in Virtual Environments | 4.1 Articoli in Atti di convegno | 2022 | Aceto, Giuseppe; Guida, Ciro; Montieri, Antonio; Persico, Valerio; Pescape, Antonio | |
Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic | 1.1 Articolo in rivista | 2022 | Guarino, I.; Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape, Antonio | |
Classification of Communication and Collaboration Apps via Advanced Deep-Learning Approaches | 4.1 Articoli in Atti di convegno | 2021 | Guarino, I.; Aceto, G.; Ciuonzo, D.; Montieri, A.; Persico, V.; Pescape, A. | |
FPFTS: A joint fuzzy particle swarm optimization mobility-aware approach to fog task scheduling algorithm for Internet of Things devices | 1.1 Articolo in rivista | 2021 | Javanmardi, S.; Shojafar, M.; Persico, V.; Pescapè, Antonio. | |
Packet-level prediction of mobile-app traffic using multitask Deep Learning | 1.1 Articolo in rivista | 2021 | Montieri, A.; Bovenzi, G.; Aceto, G.; Ciuonzo, D.; Persico, V.; Pescape, A. | |
Unveiling MIMETIC: Interpreting deep learning traffic classifiers via XAI techniques | 4.1 Articoli in Atti di convegno | 2021 | Nascita, A.; Montieri, A.; Aceto, G.; Ciuonzo, D.; Persico, V.; Pescape, A. | |
FUPE: A security driven task scheduling approach for SDN-based IoT-Fog networks | 1.1 Articolo in rivista | 2021 | Javanmardi, Saeed; Shojafar, Mohammad; Mohammadi, Reza; Nazari, Amin; Persico, Valerio; Pescape', Antonio |
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