Francesco Zola

Orcid: 0000-0002-1733-5515

According to our database1, Francesco Zola authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Enhancing Law Enforcement Training: A Gamified Approach to Detecting Terrorism Financing.
CoRR, 2024

NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness.
CoRR, 2024

2023
Temporal Analysis of Distribution Shifts in Malware Classification for Digital Forensics.
Proceedings of the IEEE European Symposium on Security and Privacy, 2023

Cybersecurity in Public Space: Leveraging CNN and LSTM for Proactive Multivariate Time Series Classification.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Conditional Generative Adversarial Network for keystroke presentation attack.
CoRR, 2022

Network traffic analysis through node behaviour classification: a graph-based approach with temporal dissection and data-level preprocessing.
Comput. Secur., 2022

Attacking Bitcoin anonymity: generative adversarial networks for improving Bitcoin entity classification.
Appl. Intell., 2022

Verification system based on long-range iris and Graph Siamese Neural Networks.
Proceedings of the 3rd European Symposium on Software Engineering, 2022

Keystroke Presentation Attack: Generative Adversarial Networks for replacing user behaviour.
Proceedings of the 3rd European Symposium on Software Engineering, 2022

ChronoEOS: Configuration Control System Based on EOSIO Blockchain for On-Running Forensic Analysis.
Proceedings of the Blockchain and Applications, 4th International Congress, 2022

Security and 5G: Attack mitigation using Reinforcement Learning in SDN networks.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021
Temporal graph-based approach for behavioural entity classification.
CoRR, 2021

NBcoded: Network Attack Classifiers Based on Encoder and Naive Bayes Model for Resource Limited Devices.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

SmartWarden: Automated Intrusion Detection System for Smart Contracts.
Proceedings of the 3rd Conference on Blockchain Research & Applications for Innovative Networks and Services, 2021

2020
Generative Adversarial Networks for Bitcoin Data Augmentation.
Proceedings of the 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services, 2020

2019
Kriptosare.gen, a Dockerized Bitcoin Testbed: Analysis of Server Performance.
Proceedings of the 10th IFIP International Conference on New Technologies, 2019

Cascading Machine Learning to Attack Bitcoin Anonymity.
Proceedings of the IEEE International Conference on Blockchain, 2019


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