Loading...
S. Viji is an Assistant Professor in the Department of Mathematics at Erode Sengunthar Engineering College, India. Her research interests include applied mathematics, data analysis, and computational methods.
The swift expansion of digital banking, e-commerce, cloud computing, cryptocurrencies, and Internet of Things (IoT) technologies has led to an unparalleled surge in financial transaction data. Although these technological innovations have enhanced efficiency and accessibility, they have simultaneously created new avenues for financial misconduct, including fraud, money laundering, cyber-enabled scams, identity theft, insider trading, and terrorist financing. Conventional investigative methods frequently encounter difficulties in managing vast amounts of diverse data and detecting concealed crime trends instantaneously. Big Data Analytics (BDA) has surfaced as a formidable method for investigating financial crimes through extensive data processing, predictive modelling, behavioural assessment, network analysis, and anomaly identification. This chapter elucidates the principles, frameworks, methodologies, applications, obstacles, and prospective trajectories of Big Data Analytics in the realm of financial crime investigation within contemporary digital environments.