A Survey on Visualization-Based Malware Detection

In computer security, the number of malware threats is increasing and causing damage to systems for individuals or organizations, necessitating a new detection technique capable detecting variant more efficiently than traditional anti-malware methods. Traditional software cannot detect variants, conventional techniques such as static analysis, dynamic hybrid analysis are time-consuming rely on domain experts. Visualization-based has recently gained popularity due its accuracy, independence from experts, faster time. uses image representation binary applies processing image. This paper aims provide readers with comprehensive understanding focuses visualization-based detection.