(Erode Sengunthar Engineering College, India.)
R. Narendran is an Assistant Professor in the Department of Information Technology at Erode Sengunthar Engineering College, India. His research interests include Information Technology, Artificial Intelligence, cybersecurity, and cloud computing.
P Viswanathan, R. Narendran. In: AI-Driven Fraud Detection and Financial Crime Prevention in Cloud-Enabled IoT and E-Commerce Ecosystems — ISBN: 978-81-69372-80-0. Pages: 432 - 454
The swift advancement of digital technologies, cloud computing, the Internet of Things (IoT), artificial intelligence, and fintech has profoundly altered the worldwide financial environment. Nonetheless, these technological innovations have also elevated the complexity and prevalence of financial offences, encompassing fraud, money laundering, cyber-enabled schemes, identity theft, and crimes associated with cryptocurrency. Conventional fraud prevention strategies are progressively insufficient in tackling new threats because of their restricted flexibility and dependence on fixed regulations. Intelligent Financial Crime Prevention (IFCP) has arisen as a multifaceted strategy that combines Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Big Data Analytics, Blockchain, Explainable AI, and Federated Learning to preemptively detect and alleviate financial threats. This chapter examines contemporary trends, innovations, and prospective trajectories in intelligent financial crime prevention systems, emphasising their significance in safeguarding cloud-based IoT and e-commerce environments.
