Paper Contents
Abstract
In recent years, ransomware attacks have become a major threat to computer systems. Although these attacks mostly focus on resource-rich general-purpose computing systems, there is a growing need for more efficient predictive algorithms, machine algorithms, for learning. To solve this problem, this paper presents a method for collecting data from artificial intelligence and machine learning to predict ransomware attacks. Data science techniques are used to develop better predictive models. The key steps to building a successful model include analyzing differences and understanding the data.
Copyright
Copyright © 2023 Uma Maheshwari K. This is an open access article distributed under the Creative Commons Attribution License.
Paper ID:
IJPREMS30400024991
ISSN:
2321-9653
Publisher:
ijprems