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Alfredo Nascita
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 14
Top Topics
Network Intrusion Detection Systems
Deep Learning
High Order
Incremental Learning
Top Venues
IEEE Trans. Netw. Serv. Manag.
CoRR
Future Gener. Comput. Syst.
J. Netw. Syst. Manag.
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Publications
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Francesco Cerasuolo
,
Alfredo Nascita
,
Giampaolo Bovenzi
,
Giuseppe Aceto
,
Domenico Ciuonzo
,
Antonio Pescapè
,
Dario Rossi
MEMENTO: A novel approach for class incremental learning of encrypted traffic.
Comput. Networks
245 (2024)
Giampaolo Bovenzi
,
Alfredo Nascita
,
Lixuan Yang
,
Alessandro Finamore
,
Giuseppe Aceto
,
Domenico Ciuonzo
,
Antonio Pescapè
,
Dario Rossi
Benchmarking Class Incremental Learning in Deep Learning Traffic Classification.
IEEE Trans. Netw. Serv. Manag.
21 (1) (2024)
Wei Qin
,
Haiming Chen
,
Lei Wang
,
Yinshui Xia
,
Alfredo Nascita
,
Antonio Pescapè
MCOTM: Mobility-aware computation offloading and task migration for edge computing in industrial IoT.
Future Gener. Comput. Syst.
151 (2024)
Ciro Guida
,
Alfredo Nascita
,
Antonio Montieri
,
Antonio Pescapè
Cross-Evaluation of Deep Learning-based Network Intrusion Detection Systems.
FiCloud
(2023)
Alfredo Nascita
,
Antonio Montieri
,
Giuseppe Aceto
,
Domenico Ciuonzo
,
Valerio Persico
,
Antonio Pescapè
Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI.
IEEE Trans. Netw. Serv. Manag.
20 (2) (2023)
Alfredo Nascita
,
Francesco Cerasuolo
,
Giuseppe Aceto
,
Domenico Ciuonzo
,
Valerio Persico
,
Antonio Pescapè
Explainable Mobile Traffic Classification: the Case of Incremental Learning.
SAFE@CoNEXT
(2023)
Giampaolo Bovenzi
,
Francesco Cerasuolo
,
Antonio Montieri
,
Alfredo Nascita
,
Valerio Persico
,
Antonio Pescapè
A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic.
ISCC
(2022)
Alfredo Nascita
,
Francesco Cerasuolo
,
Davide Di Monda
,
Jonas Thern Aberia Garcia
,
Antonio Montieri
,
Antonio Pescapè
Machine and Deep Learning Approaches for IoT Attack Classification.
INFOCOM Workshops
(2022)
Anichur Rahman
,
Antonio Montieri
,
Dipanjali Kundu
,
Md. Razaul Karim
,
Md. Jahidul Islam
,
Sara Umme
,
Alfredo Nascita
,
Antonio Pescapè
On the Integration of Blockchain and SDN: Overview, Applications, and Future Perspectives.
J. Netw. Syst. Manag.
30 (4) (2022)
Anichur Rahman
,
Antonio Montieri
,
Dipanjali Kundu
,
Md. Razaul Karim
,
Md. Jahidul Islam
,
Sara Umme
,
Alfredo Nascita
,
Antonio Pescapè
On the Integration of Blockchain and SDN: Overview, Applications, and Future Perspectives.
CoRR
(2022)
Alfredo Nascita
,
Antonio Montieri
,
Giuseppe Aceto
,
Domenico Ciuonzo
,
Valerio Persico
,
Antonio Pescapè
Unveiling MIMETIC: Interpreting Deep Learning Traffic Classifiers via XAI Techniques.
CSR
(2021)
Giuseppe Aceto
,
Domenico Ciuonzo
,
Antonio Montieri
,
Alfredo Nascita
,
Antonio Pescapè
Encrypted Multitask Traffic Classification via Multimodal Deep Learning.
ICC
(2021)
Alfredo Nascita
,
Antonio Montieri
,
Giuseppe Aceto
,
Domenico Ciuonzo
,
Valerio Persico
,
Antonio Pescapè
XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures.
IEEE Trans. Netw. Serv. Manag.
18 (4) (2021)
Idio Guarino
,
Alfredo Nascita
,
Giuseppe Aceto
,
Antonio Pescapè
Mobile Network Traffic Prediction Using High Order Markov Chains Trained At Multiple Granularity.
RTSI
(2021)