A Study of Machine Learning Techniques for Cybersecurity

Cybersecurity has recently seen enormous technological and operational transformations with data science driving the transition. The key of building an automated and intelligent security system is to extract security event patterns or insights from cybersecurity data and develop a matching data-driven model. Data science applies diverse scientific methodologies, machine learning techniques, processes and systems to comprehend and analyze actual events with data. This paper provides a study of cybersecurity data science in this paper, where data is acquired from relevant cybersecurity sources and analytics supplement the newest data-driven trends to provide more effective security solutions. Comparing with traditional cybersecurity computing processes, the notion of cybersecurity data science enables more actionable and intelligent computing.