Distributed AI for dependable cyberSecuritY

Marco Zambianco

Marco Zambianco Researcher

Marco Zambianco is a researcher in the DAISY research unit at Fondazione Bruno Kessler (FBK) in Trento, Italy. He holds a Bachelor’s Degree in Information Engineering and a Master’s Degree in Telecommunication Engineering from the University of Padova, as well as a Ph.D. in Information Technology from the Politecnico di Milano, obtained in 2022. His research focuses on service orchestration and management, cloud computing, and network security. He is currently working on the design of optimization algorithms to enhance the availability and performance of AI workloads deployed across heterogeneous cloud-to-edge infrastructures.

Publications

2025

  • Marco Zambianco, Claudio Facchinetti, Domenico Siracusa
    A Proactive Decoy Selection Scheme for Cyber Deception using MITRE ATT&CK
    In: Computers & Security (DOI)

2024

  • Marco Zambianco, Silvio Cretti, Domenico Siracusa
    Cost Minimization in Multi-cloud Systems with Runtime Microservice Re-orchestration
    In: Proceedings of 27th Conference on Innovation in Clouds, Internet and Networks (DOI)
  • Daniele Santoro, Marco Zambianco, Claudio Facchinetti, Domenico Siracusa
    Demo: Cloud-native Cyber Deception with Decepto
    In: Proceedings of 2024 IEEE Symposium on Computers and Communications (ISCC) (DOI)
  • Silvio Cretti, Marco Zambianco, Domenico Siracusa
    Demonstrating Runtime Microservice Rescheduling in Hybrid Clouds for Cost Minimization
    In: Proceedings of 27th Conference on Innovation in Clouds, Internet and Networks (DOI)
  • Marco Zambianco, Claudio Facchinetti, Roberto Doriguzzi Corin, Domenico Siracusa
    Resource-aware Cyber Deception for Microservice-based Applications
    In: IEEE Transactions on Services Computing (DOI)

2022

  • Marco Zambianco, Alessandro Lieto, Ilaria Malanchini, Giacomo Verticale
    A Learning Approach for Production-Aware 5G Slicing in Private Industrial Networks
    In: Icc 2022 - IEEE International Conference on Communications (DOI)
  • Marco Zambianco, Giacomo Verticale
    A reinforcement learning agent for mixed-numerology interference-aware slice spectrum allocation with non-deterministic and deterministic traffic
    In: Computer Communications (DOI)

2021

  • Marco Zambianco, Giacomo Verticale
    Intelligent multi-branch allocation of spectrum slices for inter-numerology interference minimization
    In: Computer Networks (DOI)
  • Marco Zambianco, Giacomo Verticale
    Mixed-Numerology Interference-Aware Spectrum Allocation for eMBB and URLLC Network Slices
    In: 2021 19th Mediterranean Communication and Computer Networking Conference (MedComNet) (DOI)

2020

  • Marco Zambianco, Giacomo Verticale
    Interference Minimization in 5G Physical-Layer Network Slicing
    In: IEEE Transactions on Communications (DOI)
  • Marco Zambianco, Giacomo Verticale
    Spectrum Allocation for Network Slices with Inter-Numerology Interference using Deep Reinforcement Learning
    In: 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications (DOI)

Supervised Theses

2022

  • Claudio Facchinetti (Master's Thesis, University of Trento, 2022)
    A Resource-Aware Decoy Allocation Strategy for Cyber Deception in the Cloud
    Supervisors: Domenico Siracusa | Co-supervisors: Marco Zambianco
Contacts