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ISSN 2063-5346
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AN ILLUSTRATION OF CYBERSECURITY DATA SCIENCE FROM A VIEWPOINT OF MACHINE LEARNING

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Christin Thomas
» doi: 10.48047/ecb/2023.12.si10.00473

Abstract

In the tech world, data science is the force behind the recent dramatic changes in cybersecurity's operations and technologies. The secret to making a security system automated and intelligent is to extract patterns and insights related to security incidents from cybersecurity data and construct appropriate data-driven models. Data science is the use of data to investigate actual events. It is also known by other scientific approaches, machine learning techniques, processes, and systems. In this article, we focus on and give a brief explanation of cybersecurity data science, which uses analytics to support the most recent data-driven trends to produce more effective security solutions. Data is gathered from relevant cybersecurity resources in this process. In contrast to conventional ones, the idea of cybersecurity data science enables the computing process to be made more intelligent and actionable. We then review and discuss some related research concerns and potential future directions.

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