A Literature Review of Machine Learning Techniques for Cybersecurity in Data Centers
Evita Roponena, Jānis Kampars, Andris Gailitis, Janis Strods · 2021
Currently, information and communication technologies (ICT) are an essential part of almost any business sector and, therefore, are the target of different cyberattacks. ICT security measures are necessary to protect information from unauthorized access. These measures include network monitoring, threat detection, and prevention. Machine learning is an important part of cybersecurity solutions that allows us to automatically analyze data patterns and learn from them to prevent similar attacks or to predict possible threats. This paper provides a literature review that summarizes different machine learning techniques and feature sets used in cybersecurity for an ICT system security analysis.