Categorization, Detection, and Prevention of Ransomware Attack: A Review
Priyank Pandey, Paras Jain, Ashutosh Gupta, Vishan Kumar Gupta, Himanshu Jindal, Avdhesh Gupta · 2023
Ransomware is a type of malware that targets users like government and business organizations. This malware stops the user from accessing their own data or resource and asks for ransom in return for getting their access back to the resource. It usually locks the screen or locks a particular resource. In recent years this attack has been a flourishing business for the attackers and a huge loss to other parties. In this work, we are giving an overview of ransomware attacks and discussing a detailed review of methodologies present to avoid, analyze, and detect the attack and to protect the user from this attack. By implementing some early preventions and techniques to combat these malicious software’s, this study would be the ideal opportunity to coordinate and extend research efforts in the future. Here, we have generated a table for current methodology, its outcomes, and future trends of ransomware. In the last, we reviewed 30 papers, which contained machine learning based methods, results and analysis for the categorization, detection, and prevention of various ransomware attacks.