Explainable and Uncertainty Aware AI-Based Ransomware Detection

Explainable and Uncertainty Aware AI-Based Ransomware Detection

Ransomware poses a serious and evolving threat, demanding detection methods that can adapt to new attack vectors while maintaining transparency and reliability. This study proposes a comprehensive framework that integrates data augmentation, explainable artificial intelligence, and uncertainty quant...

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Bibliographic Details
Main Authors: Henry Kabuye, Biju Issac, Rahul Yumlembam, Jeyamohan Neera
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Data augmentation
explainable AI
machine learning
ransomware
uncertainty
Online Access:https://ieeexplore.ieee.org/document/11043155/
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https://ieeexplore.ieee.org/document/11043155/

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