Valerio Persico

Orcid: 0000-0002-7477-1452

According to our database1, Valerio Persico authored at least 66 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 

Links

Online presence:

On csauthors.net:

Bibliography

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

2023
Blockchain Performance in Industry 4.0: Drivers, use cases, and future directions.
J. Ind. Inf. Integr., December, 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

S-FoS: A secure workflow scheduling approach for performance optimization in SDN-based IoT-Fog networks.
J. Inf. Secur. Appl., 2023

Explainable Mobile Traffic Classification: the Case of Incremental Learning.
SAFE@CoNEXT, 2023

Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples.
Proceedings of the Italia Intelligenza Artificiale, 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

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

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

Hierarchical Classification of Android Malware Traffic.
Proceedings of the IEEE International Conference on Trust, 2022

Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning.
Proceedings of the IFIP Networking Conference, 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

Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis.
Proceedings of the IEEE International Conference on Communications, 2022

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

The Art of Detecting Forwarding Detours.
IEEE Trans. Netw. Serv. Manag., 2021

Characterization and Prediction of Mobile-App Traffic Using Markov Modeling.
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.
Softw. Pract. Exp., 2021

FUPE: A security driven task scheduling approach for SDN-based IoT-Fog networks.
J. Inf. Secur. Appl., 2021

Characterization and analysis of cloud-to-user latency: The case of Azure and AWS.
Comput. Networks, 2021

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

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

A Big Data-Enabled Hierarchical Framework for Traffic Classification.
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>.
J. Ind. Inf. Integr., 2020

A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Big Data for Health.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Distributed detection with fuzzy censoring sensors in the presence of noise uncertainty.
Neurocomputing, 2019

A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges.
IEEE Commun. Surv. Tutorials, 2019

Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments.
IEEE Access, 2019

Filtering the Noise to Reveal Inter-Domain Lies.
Proceedings of the Network Traffic Measurement and Analysis Conference, 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

eMES: Easing Maintenance of Entity Services in Service Oriented Software-Defined Internet of Things.
Proceedings of the 6th International Conference on Software Defined Systems, 2019

MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation.
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.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges.
J. Netw. Comput. Appl., 2018

A comprehensive survey on internet outages.
J. Netw. Comput. Appl., 2018

Benchmarking big data architectures for social networks data processing using public cloud platforms.
Future Gener. Comput. Syst., 2018

Available Bandwidth vs. Achievable Throughput Measurements in 4G Mobile Networks.
Proceedings of the 14th International Conference on Network and Service Management, 2018

Evaluation of SDN-based bandwidth estimation in Mobile Broad Band networks.
Proceedings of the 24th Asia-Pacific Conference on Communications, 2018

2017
A Fuzzy Approach Based on Heterogeneous Metrics for Scaling Out Public Clouds.
IEEE Trans. Parallel Distributed Syst., 2017

Measuring Networks Using IP Options.
IEEE Netw., 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

SOMETIME: Software defined network-basec Available Bandwidth measurement in MONROE.
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.
Proceedings of the IEEE International Workshop on Measurement and Networking, 2017

2016
Network monitoring in public clouds: issues, methodologies, and applications.
PhD thesis, 2016

Integration of Cloud computing and Internet of Things: A survey.
Future Gener. Comput. Syst., 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

2015
Measuring network throughput in the cloud: The case of Amazon EC2.
Comput. Networks, 2015

Experimenting with alternative path tracing solutions.
Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

On Network Throughput Variability in Microsoft Azure Cloud.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

A Feedback-Control Approach for Resource Management in Public Clouds.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014
On the Integration of Cloud Computing and Internet of Things.
Proceedings of the 2014 International Conference on Future Internet of Things and Cloud, 2014

The Greenhouse Effect Attack.
Proceedings of the IEEE Conference on Communications and Network Security, 2014

2013
Don't trust traceroute (completely).
Proceedings of the 2013 workshop on Student workhop, 2013

Pythia: yet another active probing technique for alias resolution.
Proceedings of the Conference on emerging Networking Experiments and Technologies, 2013


  Loading...