• RUTHRAPRASATH.K
• Sohail khan M
• Mrs.G.S.Devilakshmi

Ransomware attacks are emerging as a major source of malware intrusion in recent times. While so far ransomware has affected general-purpose adequately resourceful computing systems. Many ransomware prediction techniques are proposed but there is a need for more suitable ransomware prediction techniques for machine learning techniques. This paper presents an attack of ransomware prediction technique that uses for extracting information features in Artificial Intelligence and Machine Learning algorithms for predicting ransomware attacks. The application of the data science process is applied for getting a better model for predicting the outcome. Variable identification and data understanding is the main process of building a successful model. Different machine learning algorithms are applied to the pre-processed data and the accuracy is compared to see which algorithm performed better other performance metrics like precision, recall, f1-score are also taken in consideration for evaluating the model. The machine learning model is used to predict the ransomware attack outcome.

Bitcoin Snatching Ransomware Strike Forecast using Data Science

"Bitcoin Snatching Ransomware Strike Forecast using Data Science", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.q208-q219, April-2024, Available :http://www.jetir.org/papers/JETIR2404H27.pdf

"Bitcoin Snatching Ransomware Strike Forecast using Data Science", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppq208-q219, April-2024, Available at : http://www.jetir.org/papers/JETIR2404H27.pdf