Antonio Montieri

Orcid: 0000-0003-4340-442X

According to our database1, Antonio Montieri authored at least 52 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
AI-Powered Internet Traffic Classification: Past, Present, and Future.
IEEE Commun. Mag., September, 2024

BlockSD-5GNet: Enhancing security of 5G network through blockchain-SDN with ML-based bandwidth prediction.
Trans. Emerg. Telecommun. Technol., April, 2024

Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems.
IEEE Open J. Commun. Soc., 2024

Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps.
IEEE Open J. Commun. Soc., 2024

Classifying attack traffic in IoT environments via few-shot learning.
J. Inf. Secur. Appl., 2024

Mirage-App×Act-2024: A Novel Dataset for Mobile App and Activity Traffic Analysis.
Proceedings of the 20th International Conference on Wireless and Mobile Computing, 2024

2023
Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI.
IEEE Trans. Netw. Serv. Manag., June, 2023

Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness.
Comput. Secur., May, 2023

Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning.
Proceedings of the 35th International Teletraffic Congress, 2023

Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples.
Proceedings of the IEEE INFOCOM 2023, 2023

Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability.
Proceedings of the IEEE International Conference on Communications, 2023

Cross-Evaluation of Deep Learning-based Network Intrusion Detection Systems.
Proceedings of the 10th International Conference on Future Internet of Things and Cloud, 2023

IoT Botnet-Traffic Classification Using Few-Shot Learning.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation.
Dataset, May, 2022

On the Integration of Blockchain and SDN: Overview, Applications, and Future Perspectives.
J. Netw. Syst. Manag., 2022

Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic.
Comput. Networks, 2022

A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

A First Look at Accurate Network Traffic Generation in Virtual Environments.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

Machine and Deep Learning Approaches for IoT Attack Classification.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures.
IEEE Trans. Netw. Serv. Manag., 2021

Characterization and Prediction of Mobile-App Traffic Using Markov Modeling.
IEEE Trans. Netw. Serv. Manag., 2021

DISTILLER: Encrypted traffic classification via multimodal multitask deep learning.
J. Netw. Comput. Appl., 2021

Packet-level prediction of mobile-app traffic using multitask Deep Learning.
Comput. Networks, 2021

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT.
IEEE Access, 2021

Characterizing and Modeling Traffic of Communication and Collaboration Apps Bloomed With COVID-19 Outbreak.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

Encrypted Multitask Traffic Classification via Multimodal Deep Learning.
Proceedings of the ICC 2021, 2021

Unveiling MIMETIC: Interpreting Deep Learning Traffic Classifiers via XAI Techniques.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

Classification of Communication and Collaboration Apps via Advanced Deep-Learning Approaches.
Proceedings of the 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2021

2020
Methodologies for Mobile and Encrypted Traffic Classification via Machine Learning Approaches.
PhD thesis, 2020

A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools.
IEEE Trans. Netw. Sci. Eng., 2020

Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web).
IEEE Trans. Dependable Secur. Comput., 2020

Human behavior sensing: challenges and approaches.
J. Ambient Intell. Humaniz. Comput., 2020

Computational intelligence intrusion detection techniques in mobile cloud computing environments: Review, taxonomy, and open research issues.
J. Inf. Secur. Appl., 2020

Toward effective mobile encrypted traffic classification through deep learning.
Neurocomputing, 2020

2019
Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges.
IEEE Trans. Netw. Serv. Manag., 2019

MIMETIC: Mobile encrypted traffic classification using multimodal deep learning.
Comput. Networks, 2019

Know your Big Data Trade-offs when Classifying Encrypted Mobile Traffic with Deep Learning.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2019

MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation.
Proceedings of the 2019 4th International Conference on Computing, 2019

2018
Multi-classification approaches for classifying mobile app traffic.
J. Netw. Comput. Appl., 2018

Mobile Encrypted Traffic Classification Using Deep Learning.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2018

2017
A sleep scheduling approach based on learning automata for WSN partial coverage.
J. Netw. Comput. Appl., 2017

On the performance of the wide-area networks interconnecting public-cloud datacenters around the globe.
Comput. Networks, 2017

Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark.
Proceedings of the 29th International Teletraffic Congress, 2017

Internet censorship in Italy: An analysis of 3G/4G networks.
Proceedings of the IEEE International Conference on Communications, 2017

Traffic Classification of Mobile Apps through Multi-Classification.
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.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

CloudSurf: A platform for monitoring public-cloud networks.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

How and how much traceroute confuses our understanding of network paths.
Proceedings of the IEEE International Symposium on Local and Metropolitan Area Networks, 2016

An efficient partial coverage algorithm for wireless sensor networks.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

A First Look at Public-Cloud Inter-Datacenter Network Performance.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

On the Network Performance of Amazon S3 Cloud-Storage Service.
Proceedings of the 5th IEEE International Conference on Cloud Networking, 2016

Internet Censorship in Italy: A First Look at 3G/4G Networks.
Proceedings of the Cryptology and Network Security - 15th International Conference, 2016


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