April 2024
Intermediate to advanced
464 pages
13h 44m
English
book
Meta-Heuristic Algorithms for Advanced Distributed Systems
by Rohit Anand, Abhinav Juneja, Digvijay Pandey, Sapna Juneja, Nidhi Sindhwani
Content preview from Meta-Heuristic Algorithms for Advanced Distributed Systems
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13Leveraging Distribution Systems for Advanced Fraud Detection and Prevention in Finance
Venkateswararao Podile1, Satish M. Dhoke2, Shouvik K. Guha3, Frakruddin A. Ahmed4, T.V.N.J.L. Haritha5, V. Abhinav5, and M. Anirudh5
1K. L. Business School, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
2Moreshwar Arts Science and Commerce College, Department of Commerce, Jalna, Maharashtra, India
3The West Bengal National University of Juridical Sciences, Kolkata, West Bengal, India
4School of Management, Presidency University, Bangalore, Karnataka, India
5Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
13.1 Introduction
Traditional fraud detection (FD) and prevention techniques have relied on rule-based systems and, more recently, machine learning-based systems. It can result in significant financial losses, undermine trust in financial institutions, and compromise the security of personal and sensitive information. However, these techniques have limitations, and as fraudsters become more sophisticated, it is necessary to explore new ways to combat financial fraud. We will provide an overview of distributed systems (DSs), discuss traditional FD and prevention techniques, explore how DSs can be used to enhance these techniques, and present case studies of DSs in action in the financial industry. We will also discuss future directions for leveraging DSs and conclude with a summary of the chapter. Fraud in finance is a persistent and ...
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