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Alfredo Nascita
Alfredo Nascita
PhD Student, Department of Electrical Engineering and Information Technology (D.I.E.T.I.)
Dirección de correo verificada de unina.it
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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
1232021
Machine and deep learning approaches for IoT attack classification
A Nascita, F Cerasuolo, D Di Monda, JTA Garcia, A Montieri, A Pescapè
IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022
342022
On the integration of blockchain and sdn: Overview, applications, and future perspectives
A Rahman, A Montieri, D Kundu, MR Karim, MJ Islam, S Umme, A Nascita, ...
Journal of Network and Systems Management 30 (4), 73, 2022
252022
A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic
G Bovenzi, F Cerasuolo, A Montieri, A Nascita, V Persico, A Pescapè
2022 Symposium on Computers and Communications (ISCC): 27th IEEE Symposium …, 2022
132022
Improving performance, reliability, and feasibility in multimodal multitask traffic classification with XAI
A Nascita, A Montieri, G Aceto, D Ciuonzo, V Persico, A Pescapé
IEEE Transactions on Network and Service Management, 2023
102023
Benchmarking class incremental learning in deep learning traffic classification
G Bovenzi, A Nascita, L Yang, A Finamore, G Aceto, D Ciuonzo, ...
IEEE Transactions on Network and Service Management, 2023
62023
Unveiling mimetic: interpreting deep learning traffic classifiers via xai techniques
A Nascita, A Montieri, G Aceto, D Ciuonzo, V Persico, A Pescapè
2021 IEEE International Conference on Cyber Security and Resilience (CSR …, 2021
62021
Montieri A Aceto G Ciuonzo D Persico V Pescapé A XAI meets mobile traffic classification: Understanding and improving multimodal deep learning architectures
A Nascita
IEEE Transactions on Network and Service Management 18 (4), 4225, 2021
62021
MCOTM: Mobility-aware computation offloading and task migration for edge computing in industrial IoT
W Qin, H Chen, L Wang, Y Xia, A Nascita, A Pescapè
Future Generation Computer Systems 151, 232-241, 2024
52024
Encrypted multitask traffic classification via multimodal deep learning
G Aceto, D Ciuonzo, A Montieri, A Nascita, A Pescapé
ICC 2021-IEEE International Conference on Communications, 1-6, 2021
52021
Mobile network traffic prediction using high order Markov chains trained at multiple granularity
I Guarino, A Nascita, G Aceto, A Pescapà
2021 IEEE 6th International Forum on Research and Technology for Society and …, 2021
22021
Explainable Mobile Traffic Classification: the Case of Incremental Learning
A Nascita, F Cerasuolo, G Aceto, D Ciuonzo, V Persico, A Pescapé
ACM 19th International Conference on emerging Networking EXperiments and …, 2023
12023
Cross-Evaluation of Deep Learning-based Network Intrusion Detection Systems
C Guida, A Nascita, A Montieri, A Pescapé
10th International Conference on Future Internet of Things and Cloud …, 2023
12023
MEMENTO: A novel approach for class incremental learning of encrypted traffic
F Cerasuolo, A Nascita, G Bovenzi, G Aceto, D Ciuonzo, A Pescapè, ...
Computer Networks 245, 110374, 2024
2024
CNSM 2022 Conference Want More WANs? Comparison of Traditional and GAN-Based Generation of Wide Area Network Topologies via Graph and Performance Metrics …
H Magnouche, G Doyen, C Prodhon, A Nascita, L Yang, A Finamore, ...
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