Advances in Robust Intrusion Detection through Machine Learning

Prazo para submissão: 20 December 2024

Data de Notificação: 01/04/2025

Editora: Elsevier

Revista: Computers & Security

Link: https://www.sciencedirect.com/special-issue/306564/advances-in-robust-intrusion-detection-through-machine-learning

Detalhes:

Intrusion detection systems are a key component in the fight against cyber attacks. Robustness by design – the ability to identify intrusions even when evasion techniques are employed – should be a core characteristic of any intrusion detection technique. Mauro ContiFull ProfessorUniversity of Padua, Padua, Italyconti-journal@math.unipd.it Fabio De GaspariAssistant ProfessorSapienza University of Rome, Rome, Italydegaspari@di.uniroma1.it