Comprehensive Survey on the Use of Data Science in Cybersecurity

DOI: https://doie.org/10.1121/Jbse.2024442721

Vishal Thadari , Imran Shahid , Sudhir Kumar Mohapatra

Keywords:

Data Science, Cybersecurity, Machine Learning, Anomaly Detection, Predictive Analytics

Abstract:

This paper aims at conducting a survey on the data science and its application in cyberspace security. The scholarly work addresses the primary use of machine learning, big data analytics, and artificial intelligence in threat detection, incident response, and security. In response to the research question, it is possible to elaborate on the role of data science in the context of cybersecurity effectiveness from the perspective of available literature and industry practices. The study shows that data science contributes positively to the extent of threat detection compared to normal detection, false positives, and probabilities in cybersecurity. Nonetheless, there are issues with data protection, analysis of the results, as well as the constant updating of models. It presents ideas for further empirical research and theoretical analyses to scholars, professionals, and decision-makers in cybersecurity, a field that is steadily expanding in importance and relevance.

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