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.· Journal of Reliable Intellig...· 0 citations
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.· IEEE Transactions on Network...· 1 citation
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.· Journal of Network and Syste...· 0 citations
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