Machine Learning Model for Content Protection from Cyber security Threats

Abstract

Cyber security is the shield that protects our digital world from unauthorized access, data breaches, and evolving threats. The former views human involvement as an extra dimension and a possible target, while the second considers it as part of the security process. However, because it centers on the ethical aspect of society as a whole, this kind of cyber security conversation has significant implications. Numerous frameworks and strategies have been proposed to handle the cyber security challenge. The ideas of cyber security are also introduced, along with information on individuals, frameworks, and protecting personal data on computers. This paper aims to emphasize the effective approach for Machine Learning Model for content from Cyber Security threats. The results show that, in this scenario, the Support Vector Machine (SVM) classifier performs better than other algorithms.