• Antonio Montieri
    Ph.D.

    Follow me on

    ABOUT ME

    I am an Assistant Professor (RTD-A) at the Department of Electrical Engineering and Information Technology (DIETI) of the University of Napoli Federico II since December 2021. I have received my Ph.D. Degree in Information Technology and Electrical Engineering in April 2020 and my MS Degree in Computer Engineering in July 2015, both from the same University. In my Ph.D. Thesis, I propose a set of novel methodologies for mobile and encrypted traffic classification via machine and deep learning approaches.
    I am a member of the Traffic research group whose activities are carried out in the field of Computer Networks under the guidance of Prof. Antonio Pescapè.
    In detail, my work is focused on network measurements, (encrypted and mobile) traffic classification, modeling and prediction, network security, monitoring and assessment of cloud network performance, Internet topology discovery, and Internet censorship detection and circumvention.

    Personal Info
    • D.O.B : 03-02-1990
    • P.O.B. : Mugnano di Napoli (NA)
    • CURRENT POSITION : Assistant Professor (RTD-A)
    Contact Me
    • E-MAIL : antonio.montieri@unina.it
    • PHONE : +39 081 768 3821
    • MOBILE : +39 339 779 4356
    Links
    • University of Napoli Federico II
    • Scuola PSB
    • Traffic Research Group

  • Publications*

    International Journals and Magazines

    1. Giampaolo Bovenzi, Francesco Cerasuolo, Domenico Ciuonzo, Davide Di Monda, Idio Guarino, Antonio Montieri, Valerio Persico, Antonio Pescapè
      Mapping the Landscape of Generative AI in Network Monitoring and Management [PAPER]
      IEEE Transactions on Network and Service Management, Early Access, 2025

    2. Alfredo Nascita, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
      A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection [PAPER]
      IEEE Communications Surveys & Tutorials, Early Access, 2024

    3. Davide Di Monda, Antonio Montieri, Valerio Persico, Pasquale Voria, Matteo De Ieso, Antonio Pescapè
      Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems [PAPER]
      IEEE Open Journal of the Communications Society, Volume 5, 16 October 2024, Pages 6736 - 6757

    4. Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
      Classifying Attack Traffic in IoT Environments via Few-Shot Learning [PAPER]
      Journal of Information Security and Applications, Volume 83, June 2024, 103762

    5. Anichur Rahman, Md. Saikat Islam Khan, Antonio Montieri, Md. Jahidul Islam, Md. Razaul Karim, Mahedi Hasan, Dipanjali Kundu, Mostofa Kamal Nasir, Antonio Pescapè
      BlockSD-5GNet: Enhancing Security of 5G Network through Blockchain-SDN with ML-based Bandwidth Prediction [PAPER]
      Transactions on Emerging Telecommunications Technologies, Volume 35, Issue 4, 2024, e4965

    6. Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
      Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps [PAPER]
      IEEE Open Journal of the Communications Society, Volume 5, 16 February 2024, Pages 1299-1324

    7. Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
      AI-powered Internet Traffic Classification: Past, Present, and Future [PAPER]
      IEEE Communications Magazine, Volume 62, Issue 9, September 2024, Pages 168-175

    8. Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
      Network Anomaly Detection Methods in IoT Environments via Deep Learning: A Fair Comparison of Performance and Robustness [PAPER]
      Computers & Security, Volume 128, May 2023, 103167

    9. Alfredo Nascita, Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
      Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI [PAPER]
      IEEE Transactions on Network and Service Management, Volume 20, Issue 2, June 2023, Pages 1267-1289

    10. Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
      Contextual Counters and Multimodal Deep Learning for Activity-Level Traffic Classification of Mobile Communication Apps during COVID-19 Pandemic [PAPER]
      Elsevier Computer Networks, Volume 219, 24 December 2022, 109452

    11. Anichur Rahman, Antonio Montieri, Dipanjali Kundu, Md. Razaul Karim, Md. Jahidul Islam, Umme Sara, Alfredo Nascita, Antonio Pescapè
      On the Integration of Blockchain and SDN: Overview, Applications, and Future Perspectives [PAPER]
      Journal of Network and Systems Management 30, Article number: 73 (2022)

    12. Antonio Montieri, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
      Packet-Level Prediction of Mobile-App Traffic using Multitask Deep Learning [PAPER]
      Elsevier Computer Networks, Volume 200, 9 December 2021, 108529

    13. Alfredo Nascita, Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
      XAI meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures [PAPER]
      IEEE Transactions on Network and Service Management, Volume 18, Issue 4, December 2021, Pages 4225-4246

    14. Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Antonio Pescapè
      DISTILLER: Encrypted Traffic Classification via Multimodal Multitask Deep Learning [PAPER]
      Elsevier Journal of Network and Computer Applications, Volumes 183-184, 1 June 2021, 102985

    15. Giuseppe Aceto, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
      Characterization and Prediction of Mobile-App Traffic using Markov Modeling [PAPER]
      IEEE Transactions on Network and Service Management, Volume 18, Issue 1, March 2021, Pages 907-925

    16. Anichur Rahman, Md. Jahidul Islam, Antonio Montieri, Mostofa Kamal Nasir, Md. Mahfuz Reza, Shahab Shamshirband, Antonio Pescapè, Mahedi Hasan, Mehdi Sookhak, Amir Mosavi
      SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT [PAPER]
      IEEE Access, Volume 9, 9 February 2021, Pages 28361-28376

    17. Shahab Shamshirband, Mahdis Fathi, Anthony T. Chronopoulos, Antonio Montieri, Fabio Palumbo, Antonio Pescapè
      Computational Intelligence Intrusion Detection Techniques in Mobile Cloud Computing Environments: Review, Taxonomy, and Open Research Issues [PAPER]
      Elsevier Journal of Information Security and Applications, Volume 55, December 2020, 102582

    18. Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Antonio Pescapè
      Toward Effective Mobile Encrypted Traffic Classification through Deep Learning [PAPER]
      Elsevier Neurocomputing, Volume 409, 7 October 2020, Pages 306-315

    19. Xiwen Liu, Haiming Chen, Antonio Montieri, Antonio Pescapè
      Human behavior sensing: challenges and approaches [PAPER]
      Springer Journal of Ambient Intelligence and Humanized Computing, Volume 11, 6043-6058, 14 March 2020

    20. Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Antonio Pescapè
      MIMETIC: Mobile Encrypted Traffic Classification using Multimodal Deep Learning [PAPER]
      Elsevier Computer Networks, Volume 165, 24 December 2019, 106944
      Computer Networks 2020 Best Paper Award

    21. Antonio Montieri, Domenico Ciuonzo, Giampaolo Bovenzi, Valerio Persico, Antonio Pescapè
      A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools [PAPER]
      IEEE Transactions on Network Science and Engineering, Volume 7, Issue 3, 1 July-Sept. 2020 (Accepted on 8 March 2019), Pages 1043-1054

    22. Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Antonio Pescapè
      Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges [PAPER]
      IEEE Transactions on Network and Service Management, Volume 16, Issue 2, June 2019, Pages 445-458

    23. Antonio Montieri, Domenico Ciuonzo, Giuseppe Aceto, Antonio Pescapè
      Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web) [PAPER]
      IEEE Transactions on Dependable and Secure Computing, Volume 17, Issue 3, 1 May-June 2020 (Accepted on 09 February 2018), Pages 662-675

    24. Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Antonio Pescapè
      Multi-Classification Approaches for Classifying Mobile App Traffic [PAPER]
      Elsevier Journal of Network and Computer Applications, Volume 103, 1 February 2018, Pages 131-145

    25. Habib Mostafaei, Antonio Montieri, Valerio Persico, Antonio Pescapè
      A Sleep Scheduling Approach based on Learning Automata for WSN Partial Coverage [PAPER]
      Elsevier Journal of Network and Computer Applications, Volume 80, 15 February 2017, Pages 67-78

    26. Valerio Persico, Alessio Botta, Pietro Marchetta, Antonio Montieri, Antonio Pescapè
      On the Performance of the Wide-Area Networks Interconnecting Public-Cloud Datacenters around the Globe [PAPER]
      Elsevier Computer Networks, Volume 112, 15 January 2017, Pages 67-83

    International Conferences and Workshops

    1. Idio Guarino, Antonio Montieri, Domenico Ciuonzo, Antonio Pescapè
      Explainable Predictive Analysis of the Economic and Financial Performance of Italian Publicly Owned Companies [PAPER]
      7th IEEE International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2025), February 18-21, 2025, Fukoka, Japan / Virtual

    2. Idio Guarino, Domenico Ciuonzo, Antonio Montieri, Antonio Pescapè
      MIRAGE-APP×ACT-2024: A Novel Dataset for Mobile App and Activity Traffic Analysis [PAPER]
      20th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2024), October 21-23, 2024, Paris, France

    3. Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè
      IoT Botnet-Traffic Classification Using Few-Shot Learning [PAPER]
      2023 IEEE International Conference on Big Data (Big Data 2023) - Workshop on Big Data for Cybersecurity (BigCyber), December 15-18, 2023, Sorrento, Napoli, Italy

    4. Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
      META MIMETIC: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning [PAPER]
      35th International Teletraffic Congress (ITC 35th), October 3-5, 2023, Turin, Italy

    5. Ciro Guida, Alfredo Nascita, Antonio Montieri, Antonio Pescapè
      Cross-Evaluation of Deep Learning-based Network Intrusion Detection Systems [PAPER]
      10th IEEE International Conference on Future Internet of Things and Cloud (FiCloud 2023) - The 6th International Workshop on Cyber Security (CSW 2023), August 14-16, 2023, Marrakesh, Morocco / Virtual

    6. Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
      Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples [PAPER]
      2023 IEEE International Conference on Computer Communications Workshops (INFOCOM WKSHPS 2023) - The 28th IEEE Global Internet (GI) Symposium 2023, May 17-20, 2023, New York area, USA / Virtual

    7. Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
      Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps via Deep-Learning: a First Look at Explainability [PAPER]
      2023 IEEE International Conference on Communications (ICC 2023); Communication QoS, Reliability and Modeling (CQRM) Symposium, May 28-June 1, 2023, Rome, Italy

    8. Giampaolo Bovenzi, Francesco Cerasuolo, Antonio Montieri, Alfredo Nascita, Valerio Persico, Antonio Pescapè
      A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic [PAPER]
      27th IEEE Symposium on Computers and Communications (IEEE ISCC 2022) - The 2nd IEEE International Workshop on Distributed Intelligent Systems (DistInSys), June 30, 2022, Virtual / Rhodes, Greece

    9. Giuseppe Aceto, Ciro Guida, Antonio Montieri, Valerio Persico, Antonio Pescapè
      A First Look at Accurate Network Traffic Generation in Virtual Environments [PAPER]
      27th IEEE Symposium on Computers and Communications (IEEE ISCC 2022), June 30-July 3, 2022, Virtual / Rhodes, Greece
      Best Paper Award ISCC 2022

    10. Alfredo Nascita, Francesco Cerasuolo, Davide Di Monda, Jonas Thern Aberia Garcia, Antonio Montieri, Antonio Pescapè
      Machine and Deep Learning Approaches for IoT Attack Classification [PAPER]
      2021 IEEE International Conference on Computer Communications (INFOCOM 2021) - The Tenth International Workshop on Security and Privacy in Big Data (BigSecurity), May 2-5, 2022, Virtual

    11. Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
      Classification of Communication and Collaboration Apps via Advanced Deep-Learning Approaches [PAPER]
      2021 IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2021), October 25-27, 2021, Virtual

    12. Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
      Characterizing and Modeling Traffic of Communication and Collaboration Apps Bloomed With COVID-19 Outbreak [PAPER]
      6th IEEE International Forum on Research and Technologies for Society and Industry (RTSI 2021), September 6-9, 2021, Virtual / Napoli, Italy

    13. Alfredo Nascita, Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
      Unveiling MIMETIC: Interpreting Deep Learning Traffic Classifiers via XAI Techniques [PAPER]
      2021 IEEE International Conference on Cyber Security and Resilience (CSR); Workshop on Data Science for Cyber Security (DS4CS), July 26-28, 2021, Virtual

    14. Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Alfredo Nascita, Antonio Pescapè
      Encrypted Multitask Traffic Classificationvia Multimodal Deep Learning [PAPER]
      2021 IEEE International Conference on Communications (ICC 2021); Next-Generation Networking and Internet (NGNI) Symposium, June 14-23, 2021, Virtual / Montreal, Canada

    15. Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
      MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation [PAPER]
      4th IEEE International Conference on Computing, Communications and Security (ICCCS 2019), October 10-12, 2019, Roma, Italy
      Best Paper Award ICCCS 2019

    16. Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
      Know your Big Data Trade-offs when Classifying Encrypted Mobile Traffic with Deep Learning [PAPER]
      3rd Network Traffic Measurement and Analysis Conference (TMA 2019), June 17-21, 2019, Paris, France

    17. Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Antonio Pescapè
      Mobile Encrypted Traffic Classification Using Deep Learning [PAPER]
      2nd Network Traffic Measurement and Analysis Conference (TMA 2018), June 26-29, 2018, Vienna, Austria

    18. Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Antonio Pescapè
      Traffic Classification of Mobile Apps through Multi-classification [PAPER]
      2017 IEEE Global Communications Conference (IEEE GLOBECOM 2017); Communication QoS, Reliability and Modeling (CQRM) Symposium, December 4-8, 2017, Singapore

    19. Antonio Montieri, Domenico Ciuonzo, Giuseppe Aceto, Antonio Pescapè
      Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark [PAPER]
      29th International Teletraffic Congress (ITC 29), September 4-8, 2017, Genova, Italy

    20. Giuseppe Aceto, Antonio Montieri, Antonio Pescapè
      Internet Censorship in Italy: an Analysis of 3G/4G Networks [PAPER]
      2017 IEEE International Conference on Communications (ICC 2017); Communication QoS, Reliability and Modeling (CQRM) Symposium, May 21-25, 2017, Paris, France

    21. Valerio Persico, Alessio Botta, Antonio Montieri, Antonio Pescapè
      A First Look at Public-cloud Inter-datacenter Network Performance [PAPER]
      IEEE Global Communication Conference (IEEE GLOBECOM 2016), December 4-8, 2016, Washington, DC, USA

    22. Giuseppe Aceto, Antonio Montieri, Valerio Persico, Antonio Pescapè, Valeria D'argenio, Francesco Salvatore, Lucio Pastore
      A first look at an automated pipeline for NGS-based breast-cancer diagnosis: the CArDIGAN approach [PAPER]
      3rd Workshop on Computational Intelligence Techniques for Industrial and Medical Applications, November 14-16, 2016, Napoli, Italy

    23. Giuseppe Aceto, Antonio Montieri, Antonio Pescapè
      Internet Censorship in Italy: a First Look at 3G/4G Networks [PAPER]
      15th International Conference on Cryptology and Network Security (CANS 2016), November 14-16, 2016, Milano, Italy

    24. Valerio Persico, Antonio Montieri, Antonio Pescapè
      On the Network Performance of Amazon S3 Cloud-storage Service [PAPER]
      5th IEEE International Conference on Cloud Networking (IEEE Cloudnet 2016) October 3-5, 2016, Pisa, Italy

    25. Valerio Persico, Antonio Montieri, Antonio Pescapè
      CloudSurf: a platform for monitoring public-cloud networks [PAPER]
      2nd IEEE International Forum on Research and Technologies for Society and Industry (RTSI 2016), September 7-9, 2016, Bologna, Italy

    26. Habib Mostafefi, Antonio Montieri, Valerio Persico, Antonio Pescapè
      An Efficient Partial Coverage Algorithm for Wireless Sensor Networks [PAPER]
      IEEE Symposium on Computers and Communications (IEEE ISCC 2016), June 27-30, 2016, Messina, Italy

    27. Pietro Marchetta, Antonio Montieri, Valerio Persico, Antonio Pescapè, Italo Cunha, Ethan Katz-Bassett
      How and How Much Traceroute Confuses Our Understanding of Network Paths [PAPER]
      22nd IEEE International symposium on local and metropolitan area networks, June 13-15 2016, Rome, Italy

    Research Interests

    My research interests belong to the area of networking, specifically focusing on:

    • Network measurement and monitoring

    • Network traffic analysis via machine and deep learning

    • Generative AI-powered network traffic analysis

    • Mobile and encrypted traffic classification

    • Network traffic modeling and prediction

    • Network security

    • Network intrusion detection

    • Cloud-network monitoring

    Collaborations

    Within Traffic research group, I closely cooperate/collaborated with:

    • Prof. Giuseppe Aceto

    • Prof. Alessio Botta

    • Dr. Giampaolo Bovenzi

    • Mr. Francesco Cerasuolo

    • Prof. Domenico Ciuonzo

    • Dr. Walter de Donato

    • Mr. Davide Di Monda

    • Dr. Idio Guarino

    • Dr. Ciro Guida

    • Dr. Alfredo Nascita

    • Prof. Valerio Persico

    • Prof. Antonio Pescapè

    * Copyright Notice Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE, ACM, Elsevier or the other copyright holders. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

  • Work Experience

    December 2021 - Today

    Assistant Professor (RTD-A), DIETI, University of Napoli Federico II
    Encrypted and mobile traffic classification, modeling, and prediction; anomaly and misuse detection; malware traffic classification; explainable artificial intelligence; control, monitoring, management and security of network infrastructures and applications.

    May 2020 - December 2021

    Postdoc, DIETI, University of Napoli Federico II
    Encrypted and mobile traffic classification, modeling, and prediction; explainable artificial intelligence; control, monitoring, management and security of network infrastructures and applications.

    Feb 2017 - April 2020

    PhD Student, DIETI, University of Napoli Federico II
    Encrypted and mobile traffic classification; Next Generation Sequencing techniques for variant calling and annotation; control, monitoring, management and security of network infrastructures and applications.

    Oct 2015 - Jan 2017

    Research Associate, NM2 s.r.l.
    Control, monitoring, management and security of network infrastructures and applications.

    Sep 2014 - Jul 2015

    Intern, DIETI, University of Napoli Federico II
    Analysis and Performance Characterization of Inter-datacenter Network of Public-cloud Providers.

    My Education

    PhD (2017 - 2020)

    University of Napoli Federico II
    PhD in Information Technology and Electrical Engineering, ottimo (full marks)

    Master Degree (2012 - 2015)

    University of Napoli Federico II
    MS Degree in Computer Engineering, 110/110 cum Laude (full marks with honors) | GPA: 29.7/30.0

    Bachelor Degree (2008 - 2012)

    University of Napoli Federico II
    BS Degree in Computer Engineering, 110/110 cum Laude (full marks with honors) | GPA: 28.8/30.0

    My Projects

    CloudSurf

    MIRAGE

    TIE

  • How To Reach Me

    Via Claudio 21, Napoli,
    80125, Italy

    Call us : +39 081 768 3821

    E-mail : antonio.montieri@unina.it

    The Department of Electrical Engineering and Information Technology (DIETI) of the University of Napoli Federico II can be reached:

    • by metro (towards Pozzuoli) line 2 from Napoli Centrale/Piazza Garibaldi railway station, taking off at Campi Flegrei station;

    • by car/taxi via Tangenziale, towards Pozzuoli, exit 10 (Fuorigrotta);

    • by airplane reaching Capodichino Airport, then getting to Campi Flegrei.

    © 2017 Simple CV. All rights reserved | Design by w3layouts

    © 2021 Antonio Montieri