Valerio Persico

Orcid: 0000-0002-7477-1452

According to our database¹, Valerio Persico authored at least 71 papers between 2013 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

Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems.

[BibT_eX]

[DOI]

IEEE Open J. Commun. Soc., 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

Classifying attack traffic in IoT environments via few-shot learning.

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., 2024

Interpretability and Complexity Reduction in Iot Network Anomaly Detection Via XAI.

[BibT_eX]

[DOI]

Alfredo Nascita

Raffaele Carillo

Federica Giampetraglia

Antonio Iacono

Valerio Persico

Antonio Pescapè

Proceedings of the IEEE International Conference on Acoustics, 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

S-FoS: A secure workflow scheduling approach for performance optimization in SDN-based IoT-Fog networks.

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., 2023

Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the 35th International Teletraffic Congress, 2023

Explainable Mobile Traffic Classification: the Case of Incremental Learning.

[BibT_eX]

[DOI]

SAFE@CoNEXT, 2023

Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 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

IoT Botnet-Traffic Classification Using Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 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

Hierarchical Classification of Android Malware Traffic.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Trust, 2022

Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the IFIP Networking Conference, 2022

A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 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

Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

2021

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

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2021

The Art of Detecting Forwarding Detours.

[BibT_eX]

[DOI]

Julián Martin Del Fiore

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

FPFTS: A joint fuzzy particle swarm optimization mobility-aware approach to fog task scheduling algorithm for Internet of Things devices.

[BibT_eX]

[DOI]

Softw. Pract. Exp., 2021

FUPE: A security driven task scheduling approach for SDN-based IoT-Fog networks.

[BibT_eX]

[DOI]

J. Inf. Secur. 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

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

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 Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

A Big Data-Enabled Hierarchical Framework for Traffic Classification.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 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

A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

Big Data for Health.

[BibT_eX]

[DOI]

Valerio Persico

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Distributed detection with fuzzy censoring sensors in the presence of noise uncertainty.

[BibT_eX]

[DOI]

Neurocomputing, 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

Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments.

[BibT_eX]

[DOI]

Aaqif Afzaal Abbasi

Almas Abbasi

Shahaboddin Shamshirband

Anthony Theodore Chronopoulos

Valerio Persico

Antonio Pescapè

IEEE Access, 2019

Filtering the Noise to Reveal Inter-Domain Lies.

[BibT_eX]

[DOI]

Julián Martin Del Fiore

Proceedings of the Network Traffic Measurement and Analysis Conference, 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

eMES: Easing Maintenance of Entity Services in Service Oriented Software-Defined Internet of Things.

[BibT_eX]

[DOI]

Haiming Chen

Valerio Persico

Antonio Pescapè

Proceedings of the 6th International Conference on Software Defined Systems, 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

A comprehensive survey on internet outages.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2018

Benchmarking big data architectures for social networks data processing using public cloud platforms.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 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

A Fuzzy Approach Based on Heterogeneous Metrics for Scaling Out Public Clouds.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2017

Measuring Networks Using IP Options.

[BibT_eX]

[DOI]

IEEE Netw., 2017

A sleep scheduling approach based on learning automata for WSN partial coverage.

[BibT_eX]

[DOI]

J. Netw. Comput. Appl., 2017

On the performance of the wide-area networks interconnecting public-cloud datacenters around the globe.

[BibT_eX]

[DOI]

Comput. Networks, 2017

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

[BibT_eX]

[DOI]

Proceedings of the Network Traffic Measurement and Analysis Conference, 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

2016

Network monitoring in public clouds: issues, methodologies, and applications.

[BibT_eX]

[DOI]

Valerio Persico

PhD thesis, 2016

Integration of Cloud computing and Internet of Things: A survey.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 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

CloudSurf: A platform for monitoring public-cloud networks.

[BibT_eX]

[DOI]

Valerio Persico

Antonio Montieri

Antonio Pescapè

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Local and Metropolitan Area Networks, 2016

An efficient partial coverage algorithm for wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communication, 2016

A First Look at Public-Cloud Inter-Datacenter Network Performance.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Communications Conference, 2016

On the Network Performance of Amazon S3 Cloud-Storage Service.

[BibT_eX]

[DOI]

Valerio Persico

Antonio Montieri

Antonio Pescapè

Proceedings of the 5th IEEE International Conference on Cloud Networking, 2016

2015

Measuring network throughput in the cloud: The case of Amazon EC2.

[BibT_eX]

[DOI]

Comput. Networks, 2015

Experimenting with alternative path tracing solutions.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

On Network Throughput Variability in Microsoft Azure Cloud.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Communications Conference, 2015

A Feedback-Control Approach for Resource Management in Public Clouds.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014

On the Integration of Cloud Computing and Internet of Things.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Conference on Future Internet of Things and Cloud, 2014

The Greenhouse Effect Attack.

[BibT_eX]

[DOI]

Pietro Marchetta

Valerio Persico

Antonio Pescapè

Proceedings of the IEEE Conference on Communications and Network Security, 2014

2013

Don't trust traceroute (completely).

[BibT_eX]

[DOI]

Proceedings of the 2013 workshop on Student workhop, 2013

Pythia: yet another active probing technique for alias resolution.

[BibT_eX]

[DOI]

Pietro Marchetta

Valerio Persico

Antonio Pescapè

Proceedings of the Conference on emerging Networking Experiments and Technologies, 2013

Valerio Persico

Timeline

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