A quantum-inspired hybrid framework for ransomware detection using graph neural ...

Researchers have developed a hybrid quantum-inspired framework combining graph neural networks and quantum support vector machines to improve ransomware detection accuracy and robustness beyond classical models. This method significantly enhances static ransomware detection by modelling complex feature dependencies and shows strong results on benchmark datasets.

This Wire brief sits within Fusion42's coverage of Cybersecurity.