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Research Paper | Information Technology | India | Volume 12 Issue 2, February 2023
Explore the Application of Predictive Analytics and Machine Learning Algorithms in Identifying and Preventing Cyber Threats and Vulnerabilities within Computer Systems
Abstract: In the introduction section, the study provided a well - developed aim as well as research objectives and research questions associated with the topic. In that case, the rise in cybersecurity issues throughout the world is a problem statement for this study. In the literature review, this study provides several examples of Machine Learning Models that help in the security effectiveness enhancement segment. In that case, Predictive analytics as well as the contribution of different algorithms has been discussed in the Cybersecurity landscape. Different strategies have been implemented to increase the prevention rate against cybersecurity threats in the modern era. In the methodology section, this study used a primary approach where primary data collection has been performed. In that case, the online survey offered all the data and these data were offered by 70 participants as per the asked questions. Quantitative data analysis method performed for data analysis. In the findings and analysis section, the IBM SPSS tool was used for demographic analysis. Similarly, this tool offered a hypothesis test by performing regression analysis and correlation analysis. In the discussion section, all the findings are discussed in which collaborating ML models with predictive analytics enhances cybersecurity measures. In the end, it can be concluded that different applications of predictive analytics improve the security of organisations in the evolving digital era.
Keywords: Cybersecurity, Predictive Analytics, Machine Learning, Threat Detection, Vulnerability Prevention, Cyber Threats, Computer Systems
Edition: Volume 12 Issue 2, February 2023,
Pages: 1704 - 1712