Advance Model For Ransomware Attacking Data Classification And Prediction Using Ai
Vijaya R. Kumbhar, Ashwini P. Shende, Yudhishthir Raut · 2023
In the past few years, ransomware attacks have grown quickly and become a huge security problem for businesses of all sizes, governments, and internet users. Ransomware attacks are getting harder to pull off because encryption technology is getting better, and computers are getting more powerful. Then, to deal with ransomware successfully, you need to use effective methods. There have been a lot of different ideas about how to find ransomware, but none of them have worked very well. This means that more research is needed in this area. In this paper, A new way is proposed which will tell the difference between harmful software like ransomware and real programs by using techniques from process mining. The proposed method classifies ransomware by first using process mining to figure out the process model from the events logs. Only then does the model's features get pulled out. This needs to be done before the model's features are taken out. The results of this research show that ransomware can be found by using a method that combines classification strategies and process mining.