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Research Paper | Computer Science and Engineering | Volume 15 Issue 3, March 2026 | Pages: 290 - 291 | India
Data Science and Its Role in Cybersecurity: Leveraging Advanced Analytics for Robust Def
Abstract: With rapid digital transformation across industries, cyber threats have grown not only in number but also in complexity. Conventional security mechanisms based on fixed signatures are no longer adequate to counter modern threats such as zero-day attacks, advanced persistent threats, and evolving malware. This research paper examines the critical role of data science in strengthening cybersecurity frameworks. By incorporating machine learning, deep learning, and big data analytics, organizations can adopt proactive security strategies instead of reactive responses. The paper discusses the data science lifecycle, major cyber threat categories, and the application of predictive analytics in intrusion detection, malware identification, and fraud prevention. Additionally, it highlights tools, limitations, challenges, and future research opportunities in this emerging interdisciplinary field.
Keywords: Data Science, Cybersecurity, Machine Learning, Threat Detection, Big Data Analytics, Intrusion Detection Systems, Predictive Modeling, Artificial Intelligence
How to Cite?: Vedant Bachhav, Mobin Attar, Neha Yeola, "Data Science and Its Role in Cybersecurity: Leveraging Advanced Analytics for Robust Def", Volume 15 Issue 3, March 2026, International Journal of Science and Research (IJSR), Pages: 290-291, https://www.ijsr.net/getabstract.php?paperid=SC26211110748, DOI: https://dx.dx.doi.org/10.21275/SC26211110748