VoterChoice: A Ransomware Detection Honeypot with Multiple Voting Concept

This study has proposed a framework VoterChoice which adopted a static detection and dynamic classification to detect and classify ransomware. The static detection adopted multiple Machine Learning models with voting concept to detect the nature of the sample. The dynamic classification comprises of honeypot with sequential feature extraction that can identify the families of the ransomware.