• Rajesh Kumar Jaiswal
• Pramod Kumar Sharma

This research article delves into the critical realm of economic transactions, addressing the escalating demanding situations posed by fraudulent activities and presenting a multifaceted approach for robust detection and prevention mechanisms. In an era wherein digital monetary ecosystems are hastily evolving, the vulnerabilities to fraud have turn out to be greater sophisticated and large. The have a look at navigates thru the intricacies of contemporary financial transactions, exploring the dynamic landscape of cyber threats, identification theft, and different fraudulent practices that jeopardize the integrity of financial structures. The research adopts a complete angle, integrating superior technologies such as artificial intelligence, gadget getting to know, and facts analytics to make stronger existing fraud detection systems. Through an exhaustive evaluation of ancient fraud styles, the thing advocates for proactive techniques that leverage predictive modeling and anomaly detection to pick out capacity threats before they materialize. Moreover, the examine emphasizes the importance of collaboration amongst economic establishments, regulatory bodies, and law enforcement businesses to set up a united front against fraud. Furthermore, the object delves into the role of consumer schooling and attention applications, emphasizing the want for a properly-informed user base to give a boost to the human detail within the fight against fraud. By synthesizing technological improvements and strategic collaborations with human-centric strategies, this research contributes to the ongoing discourse on safeguarding monetary transactions in an increasingly more interconnected and virtual financial landscape. The proposed framework aims to empower financial establishments and regulatory our bodies to proactively cope with emerging threats and steady the trust and self-belief of stakeholders within the global financial atmosphere.

Fraud detection, prevention, financial transactions, machine learning, artificial intelligence, cybersecurity.

"Fraud Detection and Prevention in Financial Transactions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.64-69, October-2018, Available :http://www.jetir.org/papers/JETIRGD06010.pdf

"Fraud Detection and Prevention in Financial Transactions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp64-69, October-2018, Available at : http://www.jetir.org/papers/JETIRGD06010.pdf