The Digital Press

Malware continues to threaten interconnected digital systems, and while machine learning helps detect threats, evolving malware demands new strategies. Visualization-based techniques offer promising, interpretable ways to detect malware across platforms, and this survey analyzes over 100 studies to map the current landscape and future paths.

Why it matters: Visualization aids scalable, interpretable malware detection across desktop, mobile, IoT, and network systems.

The big picture: Evolving malware complexity requires advancing beyond static and dynamic machine learning methods.

Stunning stat: Over 100 high-quality research articles on visualization-based malware detection were comprehensively reviewed.

Quick takeaway: A new framework analyzes how visualization methods integrate into malware detection pipelines, highlighting challenges and opportunities.