Giuseppe Aceto

Orcid: 0000-0002-4445-6259

According to our database¹, Giuseppe Aceto authored at least 72 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

AI-Powered Internet Traffic Classification: Past, Present, and Future.

[BibT_eX]

[DOI]

IEEE Commun. Mag., September, 2024

Benchmarking Class Incremental Learning in Deep Learning Traffic Classification.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., February, 2024

Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps.

[BibT_eX]

[DOI]

IEEE Open J. Commun. Soc., 2024

Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2024

MEMENTO: A novel approach for class incremental learning of encrypted traffic.

[BibT_eX]

[DOI]

Comput. Networks, 2024

XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification.

[BibT_eX]

[DOI]

Proceedings of the IFIP Networking Conference, 2024

2023

Blockchain Performance in Industry 4.0: Drivers, use cases, and future directions.

[BibT_eX]

[DOI]

J. Ind. Inf. Integr., December, 2023

Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., June, 2023

Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness.

[BibT_eX]

[DOI]

Comput. Secur., May, 2023

Explainable Mobile Traffic Classification: the Case of Incremental Learning.

[BibT_eX]

[DOI]

SAFE@CoNEXT, 2023

Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

2022

MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation.

[BibT_eX]

[DOI]

Dataset, May, 2022

Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic.

[BibT_eX]

[DOI]

Comput. Networks, 2022

On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Measurements & Networking, 2022

A First Look at Accurate Network Traffic Generation in Virtual Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2022

2021

XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2021

Characterization and Prediction of Mobile-App Traffic Using Markov Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2021

DISTILLER: Encrypted traffic classification via multimodal multitask deep learning.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2021

Characterization and analysis of cloud-to-user latency: The case of Azure and AWS.

[BibT_eX]

[DOI]

Comput. Networks, 2021

Packet-level prediction of mobile-app traffic using multitask Deep Learning.

[BibT_eX]

[DOI]

Comput. Networks, 2021

A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification.

[BibT_eX]

[DOI]

Proceedings of the 5th Network Traffic Measurement and Analysis Conference, 2021

Mobile Network Traffic Prediction Using High Order Markov Chains Trained At Multiple Granularity.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

Characterizing and Modeling Traffic of Communication and Collaboration Apps Bloomed With COVID-19 Outbreak.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

Encrypted Multitask Traffic Classification via Multimodal Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the ICC 2021, 2021

Unveiling MIMETIC: Interpreting Deep Learning Traffic Classifiers via XAI Techniques.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

Classification of Communication and Collaboration Apps via Advanced Deep-Learning Approaches.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2021

2020

A Big Data-Enabled Hierarchical Framework for Traffic Classification.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web).

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2020

Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for <i>Healthcare 4.0</i>.

[BibT_eX]

[DOI]

Giuseppe Aceto

Valerio Persico

Antonio Pescapè

J. Ind. Inf. Integr., 2020

Toward effective mobile encrypted traffic classification through deep learning.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Performance-based service-level agreement in cloud computing to optimise penalties and revenue.

[BibT_eX]

[DOI]

Afzal Badshah

Anwar Ghani

Shahaboddin Shamshirband

Giuseppe Aceto

Antonio Pescapè

IET Commun., 2020

A network performance view of a biobanking system for diagnostic images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2020

A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios.

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[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2019

A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges.

[BibT_eX]

[DOI]

Giuseppe Aceto

Valerio Persico

Antonio Pescapè

IEEE Commun. Surv. Tutorials, 2019

MIMETIC: Mobile encrypted traffic classification using multimodal deep learning.

[BibT_eX]

[DOI]

Comput. Networks, 2019

Know your Big Data Trade-offs when Classifying Encrypted Mobile Traffic with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Network Traffic Measurement and Analysis Conference, 2019

TaRad: A Thing-Centric Sensing System for Detecting Activities of Daily Living.

[BibT_eX]

[DOI]

Proceedings of the Internet and Distributed Computing Systems, 2019

Wi-CR: Human Action Counting and Recognition with Wi-Fi Signals.

[BibT_eX]

[DOI]

Proceedings of the 2019 4th International Conference on Computing, 2019

MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation.

[BibT_eX]

[DOI]

Proceedings of the 2019 4th International Conference on Computing, 2019

Characterizing Cloud-to-User Latency as Perceived by AWS and Azure Users Spread over the Globe.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges.

[BibT_eX]

[DOI]

Giuseppe Aceto

Valerio Persico

Antonio Pescapè

J. Netw. Comput. Appl., 2018

Multi-classification approaches for classifying mobile app traffic.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2018

A comprehensive survey on internet outages.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2018

Mobile Encrypted Traffic Classification Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Network Traffic Measurement and Analysis Conference, 2018

Speeding-Up DPI Traffic Classification with Chaining.

[BibT_eX]

[DOI]

Hossein Doroud

Giuseppe Aceto

Walter de Donato

Elnaz Alizadeh Jarchlo

Andrés Marín López

César D. Guerrero

Antonio Pescapè

Proceedings of the IEEE Global Communications Conference, 2018

Available Bandwidth vs. Achievable Throughput Measurements in 4G Mobile Networks.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Network and Service Management, 2018

Evaluation of SDN-based bandwidth estimation in Mobile Broad Band networks.

[BibT_eX]

[DOI]

Proceedings of the 24th Asia-Pacific Conference on Communications, 2018

2017

Measuring Networks Using IP Options.

[BibT_eX]

[DOI]

IEEE Netw., 2017

Challenges and solution for measuring available bandwidth in software defined networks.

[BibT_eX]

[DOI]

Comput. Commun., 2017

SOMETIME: Software defined network-basec Available Bandwidth measurement in MONROE.

[BibT_eX]

[DOI]

Proceedings of the Network Traffic Measurement and Analysis Conference, 2017

Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark.

[BibT_eX]

[DOI]

Proceedings of the 29th International Teletraffic Congress, 2017

An experimental evaluation of the impact of heterogeneous scenarios and virtualization on the available bandwidth estimation tools.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Measurement and Networking, 2017

Internet censorship in Italy: An analysis of 3G/4G networks.

[BibT_eX]

[DOI]

Giuseppe Aceto

Antonio Montieri

Antonio Pescapè

Proceedings of the IEEE International Conference on Communications, 2017

Traffic Classification of Mobile Apps through Multi-Classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

A First Look at an Automated Pipeline for NGS-Based Breast-Cancer Diagnosis: The CArDIGAN Approach.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Available bandwidth measurement in software defined networks.

[BibT_eX]

[DOI]

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Analyzing internet censorship in Pakistan.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Internet Censorship in Italy: A First Look at 3G/4G Networks.

[BibT_eX]

[DOI]

Giuseppe Aceto

Antonio Montieri

Antonio Pescapè

Proceedings of the Cryptology and Network Security - 15th International Conference, 2016

2015

Internet Censorship detection: A survey.

[BibT_eX]

[DOI]

Giuseppe Aceto

Antonio Pescapè

Comput. Networks, 2015

Monitoring Internet Censorship with UBICA.

[BibT_eX]

[DOI]

Proceedings of the Traffic Monitoring and Analysis - 7th International Workshop, 2015

2013

Active Techniques for Available Bandwidth Estimation: Comparison and Application.

[BibT_eX]

[DOI]

Proceedings of the Data Traffic Monitoring and Analysis, 2013

Efficient Storage and Processing of High-Volume Network Monitoring Data.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2013

TIE: Traffic Identification Engine.

[BibT_eX]

[DOI]

Prax. Inf.verarb. Kommun., 2013

D-ITG: Distributed Internet Traffic Generator.

[BibT_eX]

[DOI]

Prax. Inf.verarb. Kommun., 2013

Cloud monitoring: A survey.

[BibT_eX]

[DOI]

Comput. Networks, 2013

2012

On the recent use of email through traffic and network analysis: the impact of OSNs, new trends, and other communication platforms.

[BibT_eX]

[DOI]

Giuseppe Aceto

Antonio Pescapè

SIGMETRICS Perform. Evaluation Rev., 2012

Unified architecture for network measurement: The case of available bandwidth.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2012

Open Source Platforms for Internet Monitoring and Measurement.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Signal Image Technology and Internet Based Systems, 2012

Cloud monitoring: Definitions, issues and future directions.

[BibT_eX]

[DOI]

Proceedings of the 1st IEEE International Conference on Cloud Networking, 2012

2011

An efficient storage technique for network monitoring data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Measurement and Networking, 2011

2010

UANM: a platform for experimenting with available bandwidth estimation tools.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE Symposium on Computers and Communications, 2010

Giuseppe Aceto

Timeline

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