XRGuard: A Model-Agnostic Approach to Ransomware Detection Using Dynamic Analysis and Explainable AI
Abstract: Ransomware remains a persistent and evolving cybersecurity threat, demanding advanced and adaptable detection strategies. Traditional methods often fall short as signature-based systems are ...
1 Department of Rehabilitation, Faculty of Health Sciences, Nihon Fukushi University, Handa, Aichi, Japan 2 Department of Physical Therapy, Faculty of Rehabilitation, Kobe International University, ...
Abstract: Current network analysis algorithms often rely on search methods or centrality measures but face challenges such as 1) The solution space is large, resulting in high computational complexity ...
Some computers are easy to spot. Artificial, human-built computers like those found in smartphones and laptops are abstract ...
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