Výsledky vyhledávání - "ANDREOLINI, MAURO"

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DOLOS: A Novel Architecture for Moving Target Defense

Autor: Pagnotta, Giulio, De Gaspari, Fabio, Hitaj, Dorjan, Andreolini, Mauro, Colajanni, Michele, Mancini, Luigi V.

Publikováno v: IEEE Transactions on Information Forensics and Security, 2023

Moving Target Defense and Cyber Deception emerged in recent years as two key proactive cyber defense approaches, contrasting with the static nature of the traditional reactive cyber defense. The key insight behind these approaches is to impose an asy

Externí odkaz: http://arxiv.org/abs/2303.00387

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Akademický článek

Assessing generalizability of Deep Reinforcement Learning algorithms for Automated Vulnerability Assessment and Penetration Testing

Autor: Venturi, Andrea, Andreolini, Mauro, Marchetti, Mirco, Colajanni, Michele

Publikováno v: In Array December 2024 24

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Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems

Autor: Apruzzese, Giovanni, Andreolini, Mauro, Ferretti, Luca, Marchetti, Mirco, Colajanni, Michele

The incremental diffusion of machine learning algorithms in supporting cybersecurity is creating novel defensive opportunities but also new types of risks. Multiple researches have shown that machine learning methods are vulnerable to adversarial att

Externí odkaz: http://arxiv.org/abs/2106.09380

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Hardening Random Forest Cyber Detectors Against Adversarial Attacks

Autor: Apruzzese, Giovanni, Andreolini, Mauro, Colajanni, Michele, Marchetti, Mirco

Machine learning algorithms are effective in several applications, but they are not as much successful when applied to intrusion detection in cyber security. Due to the high sensitivity to their training data, cyber detectors based on machine learnin

Externí odkaz: http://arxiv.org/abs/1912.03790

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