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pro vyhledávání: '"Marchiori, Francesco"'
Autonomous driving is a research direction that has gained enormous traction in the last few years thanks to advancements in Artificial Intelligence (AI). Depending on the level of independence from the human driver, several studies show that Autonom
Externí odkaz:
http://arxiv.org/abs/2405.08466
Recent advancements in Artificial Intelligence, and particularly Large Language Models (LLMs), offer promising prospects for aiding system administrators in managing the complexity of modern networks. However, despite this potential, a significant ga
Externí odkaz:
http://arxiv.org/abs/2404.12689
The widespread exchange of digital documents in various domains has resulted in abundant private information being shared. This proliferation necessitates redaction techniques to protect sensitive content and user privacy. While numerous redaction me
Externí odkaz:
http://arxiv.org/abs/2404.12991
Autor:
Marchiori, Francesco, Conti, Mauro
The growing integration of vehicles with external networks has led to a surge in attacks targeting their Controller Area Network (CAN) internal bus. As a countermeasure, various Intrusion Detection Systems (IDSs) have been suggested in the literature
Externí odkaz:
http://arxiv.org/abs/2404.04648
Publikováno v:
Detection of Intrusions and Malware, and Vulnerability Assessment (DIMVA), 2024, Lecture Notes in Computer Science, 14828, 503--524
Predicting and classifying faults in electricity networks is crucial for uninterrupted provision and keeping maintenance costs at a minimum. Thanks to the advancements in the field provided by the smart grid, several data-driven approaches have been
Externí odkaz:
http://arxiv.org/abs/2403.17494
The large number of Electronic Control Units (ECUs) mounted on modern cars and their expansive communication capabilities create a substantial attack surface for potential exploitation. Despite the evolution of automotive technology, the continued us
Externí odkaz:
http://arxiv.org/abs/2401.10736
Cyber Threat Intelligence (CTI) reporting is pivotal in contemporary risk management strategies. As the volume of CTI reports continues to surge, the demand for automated tools to streamline report generation becomes increasingly apparent. While Natu
Externí odkaz:
http://arxiv.org/abs/2310.02655
Autor:
Marchiori, Francesco, Conti, Mauro
Lithium-ion (Li-ion) batteries are the primary power source in various applications due to their high energy and power density. Their market was estimated to be up to 48 billion U.S. dollars in 2022. However, the widespread adoption of Li-ion batteri
Externí odkaz:
http://arxiv.org/abs/2309.03607
Evasion attacks are a threat to machine learning models, where adversaries attempt to affect classifiers by injecting malicious samples. An alarming side-effect of evasion attacks is their ability to transfer among different models: this property is
Externí odkaz:
http://arxiv.org/abs/2306.15363
When Authentication Is Not Enough: On the Security of Behavioral-Based Driver Authentication Systems
Many research papers have recently focused on behavioral-based driver authentication systems in vehicles. Pushed by Artificial Intelligence (AI) advancements, these works propose powerful models to identify drivers through their unique biometric beha
Externí odkaz:
http://arxiv.org/abs/2306.05923