2026 Antonio Pescape: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	62	2866	2782	47	46	271	17928

Research.com Recognitions

2025 - Research.com Computer Science in Italy Leader Award
2023 - Research.com Computer Science in Italy Leader Award
2022 - Research.com Computer Science in Italy Leader Award

Overview

Antonio Pescape is affiliated with the University of Naples Federico II in Italy. Their research primarily centers on computer science, with particular focus on computer networks and communications as well as artificial intelligence.

The scientist's work spans multiple subfields including:

Computer Networks and Communications
Artificial Intelligence
Information Systems
Signal Processing
Electrical and Electronic Engineering

Key topics investigated in their research cover areas such as:

Network Security and Intrusion Detection
Internet Traffic Analysis and Secure E-voting
IoT and Edge/Fog Computing
Advanced Malware Detection Techniques
Software-Defined Networks and 5G
Anomaly Detection Techniques and Applications
Privacy-Preserving Technologies in Data

Antonio Pescape has published extensively in several venues. The most frequent publication outlets include:

Computer Networks
IEEE Transactions on Network and Service Management
SSRN Electronic Journal
arXiv (Cornell University)
Journal of Information Security and Applications

The scientist's collaborative efforts involve several frequent coauthors who have contributed to numerous joint publications. These coauthors are:

Valerio Persico
Antonio Montieri
Giuseppe Aceto
Domenico Ciuonzo
Giampaolo Bovenzi

Among the recent papers associated with Antonio Pescape are the following works:

Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0, 2020, Journal of Industrial Information Integration
A Secure Adaptive Control for Cooperative Driving of Autonomous Connected Vehicles in the Presence of Heterogeneous Communication Delays and Cyberattacks, 2020, IEEE Transactions on Cybernetics
Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG, 2020, Scientific Reports
DISTILLER: Encrypted traffic classification via multimodal multitask deep learning, 2021, Journal of Network and Computer Applications
SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT, 2021, IEEE Access

These papers reflect a focus on emerging technologies such as Internet of Things (IoT), secure communication, blockchain frameworks, and artificial intelligence applied in network security and healthcare contexts.

Best Publications

Integration of Cloud computing and Internet of Things

Alessio Botta;Walter de Donato;Valerio Persico;Antonio Pescapé

2842
Citations
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0

Giuseppe Aceto;Valerio Persico;Antonio Pescapé

837
Citations
Issues and future directions in traffic classification

Alberto Dainotti;A. Pescape;K. C. Claffy

772
Citations
Survey Cloud monitoring: A survey

Giuseppe Aceto;Alessio Botta;Walter De Donato;Antonio Pescapè

720
Citations
Analysis of country-wide internet outages caused by censorship

Alberto Dainotti;Claudio Squarcella;Emile Aben;Kimberly C. Claffy

615
Citations
A tool for the generation of realistic network workload for emerging networking scenarios

Alessio Botta;Alberto Dainotti;Antonio Pescapé

585
Citations
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges

Giuseppe Aceto;Valerio Persico;Antonio Pescapé

527
Citations
Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges

Giuseppe Aceto;Domenico Ciuonzo;Antonio Montieri;Antonio Pescape

470
Citations
Broadband internet performance: a view from the gateway

Srikanth Sundaresan;Walter de Donato;Nick Feamster;Renata Teixeira

447
Citations
On the Integration of Cloud Computing and Internet of Things

Alessio Botta;Walter de Donato;Valerio Persico;Antonio Pescapé

410
Citations
A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges

Giuseppe Aceto;Valerio Persico;Antonio Pescape

404
Citations
Analysis of a "/0" stealth scan from a botnet

Alberto Dainotti;Alistair King;Kimberly Claffy;Ferdinando Papale

276
Citations
MIMETIC: Mobile encrypted traffic classification using multimodal deep learning

Giuseppe Aceto;Domenico Ciuonzo;Antonio Montieri;Antonio Pescapè

261
Citations
A Consensus-Based Approach for Platooning with Intervehicular Communications and Its Validation in Realistic Scenarios

Stefania Santini;Alessandro Salvi;Antonio Saverio Valente;Antonio Pescape

215
Citations
Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG

Mihaela Porumb;Saverio Stranges;Antonio Pescapè;Leandro Pecchia

194
Citations
Multi-classification approaches for classifying mobile app traffic

Giuseppe Aceto;Domenico Ciuonzo;Antonio Montieri;Antonio Pescapé

190
Citations
A Secure Adaptive Control for Cooperative Driving of Autonomous Connected Vehicles in the Presence of Heterogeneous Communication Delays and Cyberattacks

Alberto Petrillo;Antonio Pescape;Stefania Santini

177
Citations
DISTILLER: Encrypted traffic classification via multimodal multitask deep learning

Giuseppe Aceto;Domenico Ciuonzo;Antonio Montieri;Antonio Pescapé

165
Citations
A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios

Giampaolo Bovenzi;Giuseppe Aceto;Domenico Ciuonzo;Valerio Persico

163
Citations
SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

Anichur Rahman;Md. Jahidul Islam;Antonio Montieri;Mostofa Kamal Nasir

161
Citations
Reviewing traffic classification

Silvio Valenti;Dario Rossi;Alberto Dainotti;Antonio Pescapè

147
Citations
Classification of Network Traffic via Packet-Level Hidden Markov Models

A. Dainotti;W. de Donato;A. Pescape;P. Salvo Rossi

138
Citations
Do you trust your software-based traffic generator?

Alessio Botta;Alberto Dainotti;Antonio Pescapé

138
Citations
D-ITG: Distributed Internet Traffic Generator

Giuseppe Aceto;Alessio Botta;Walter de Donato;Antonio Pescapè

83
Citations

Frequent Co-Authors

Domenico Ciuonzo University of Naples Federico II

Stefania Santini University of Naples Federico II

Dario Rossi Télécom ParisTech

Ethan Katz-Bassett Columbia University

Nick Feamster University of Chicago

Marco Mellia Polytechnic University of Turin

Leopoldo Angrisani University of Naples Federico II

Carlo Sansone University of Naples Federico II

Francesco Palmieri University of Salerno

Shahab S. Band National Yunlin University of Science and Technology

External Links

Personal website of Antonio Pescape Google Scholar page

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