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A. Rizzardi

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Open access Sep 2026

ACID: beta-testing active inference for active cyber-defence

Active cyber-defence employs anticipatory techniques to proactively mitigate cyber threats. Among such techniques, the most relevant one consists in the continuous updating of cyber-threat intelligence. In this respect, there is a trade-off between the cost of intelligence assets and the benefits derived from their exp...

Jesús F. Cevallos-Moreno, A. Rizzardi, S. Sicari et al. · 0 citations
Open access 2026

TIGER: An Open-Source Cyber-Threat Intelligence Game Environment for Reinforcement Learning

T tiger, an open-source Threat Intelligence Game Environment for Reinforcement learning-based agents to be trained and evaluated toward the optimisation of the costs-benefit trade-off associated with realistic ML-driven cyber-defence life-cycles is presented.

Jesús F. Cevallos-Moreno, A. Rizzardi, S. Sicari et al. · 1 citation
Open access Jul 2026

SmartVille: A Framework for Realistic Deep Learning-Based Online Network Intrusion Detection

SmartVille is introduced, a framework for formulating and studying deep learning-based NID under online, open-world, and multi-modal assumptions, and providing a principled way to design, train, and benchmark adaptive NID models under realistic assumptions while separating the theoretical contribution from its open-sou...

J. F. C. Moreno, A. Rizzardi, S. Sicari et al. · 0 citations

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