*7.1. Challenges in Developing Effective Machine-Learning-Based Ransomware-Detection Systems*

Developing effective machine-learning-based ransomware-detection systems presents several challenges, with the most common ones being:


9. Collecting and preprocessing data for ransomware detection using machine learning presents several challenges, including the lack of real-world datasets, the diversity of ransomware families and variants, and the obfuscation techniques used by ransomware. However, several datasets have been developed to address these challenges, providing valuable resources for training and evaluating ransomware-detection models [54].
