3 papers
cs.CR2025
Evasive Ransomware Attacks Using Low-level Behavioral Adversarial Examples
Manabu Hirano, Ryotaro Kobayashi
Protecting state-of-the-art AI-based cybersecurity defense systems from cyber attacks is crucial. Attackers create adversarial examples by adding small changes (i.e., perturbations…
cs.CR2025
Hypervisor-based Double Extortion Ransomware Detection Method Using Kitsune Network Features
Manabu Hirano, Ryotaro Kobayashi
Double extortion ransomware attacks have become mainstream since many organizations adopt more robust and resilient data backup strategies against conventional crypto-ransomware. T…
cs.CR2025
ROFBS: Real Time Backup System Decoupled from ML Based Ransomware Detection
Kosuke Higuchi, Ryotaro Kobayashi
This study introduces ROFBS, a new defense architecture that addresses delays in detection in ransomware detectors based on machine learning. It builds on our earlier Real Time…