Cyber Crime Analysis Using Big Data Intelligence

Author(s)	M. Thejovathi, N.Pranitha sai sri, J.Divya Sree, CH.Sindhu Thulani, J.Divya
Country	India
Abstract	The rapid growth of cybercrime presents significant challenges to digital security worldwide. Traditional methods of cybercrime detection and analysis often fall short in handling the massive volume, variety, and velocity of data generated in modern networks. This paper explores the application of big data intelligence techniques to enhance cybercrime analysis. Leveraging big data tools and analytics, we propose an integrated framework that enables real-time detection, pattern recognition, and predictive analysis of cyber threats. Our approach combines machine learning algorithms with scalable data processing technologies to provide actionable insights, thereby improving the efficiency and accuracy of cybercrime investigations. The proposed framework is evaluated using real-world datasets, demonstrating its effectiveness in identifying complex cyberattack patterns and supporting proactive cybersecurity measures.
Field	Engineering
Published In	Volume 17, Issue 1, January-June 2026
Published On	2026-04-12
Cite This	Cyber Crime Analysis Using Big Data Intelligence - M. Thejovathi, N.Pranitha sai sri, J.Divya Sree, CH.Sindhu Thulani, J.Divya - IJAIDR Volume 17, Issue 1, January-June 2026.

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