A Combined Utilization of Machine Learning and Pre-Attack Analysis to Provide a Protection Framework for Ransomware Attack

Ransomware could be a frame of blackmail in which digital records are rendered blocked off until a ransom payment is made. There is very less information about the new ransomware or the ever-changing ransomware variants so the protection mechanism is very difficult undertaking from the rising frequency of ransomware attacks. As a result, convincing ways for identifying and reducing ransomware attacks by analysing their behavioural features are required, using the Pre-attack API calls, and crediting them to known malicious families. Methods for avoiding discovery are provided through a sequence of pre-attack API calls that look at the surroundings and forbid execution in a virtual environment.