Big Data To The Rescue: Boosting Cybersecurity With AI

Date

2023-12

Type

Article

Journal title

www.ijcrt.org

Issue

Vol. 12 No. 11

Author(s)

Mohamed Abdeldaiem Abdelhadi Mahboub

Pages

824 - 842

Abstract

In the dynamic field of cybersecurity, network operators and administrators grapple with the growing challenge of protecting systems against sophisticated cyber threats. This study investigates the transformative potential of Big Data Analytics (BDA) tools in enhancing network security operations. By applying BDA to areas such as threat detection, vulnerability analysis, incident response, and security intelligence, this paper highlights the benefits for network professionals. As digital networks become more integral, the article proposes a comprehensive approach using BDA tools to fortify cybersecurity. The study aims to provide insights for proactive threat detection, rapid incident response, and overall system optimization, empowering operators to navigate the evolving cyber threat landscape with confidence. The study also explores practical applications of big data analytics in various cybersecurity solutions, showcasing real-life case studies in network detection, endpoint detection, continuous threat detection, and beyond.

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