The Evolutionary Arms Race - Safeguarding Financial Stability through Advanced Fraud Detection Techniques
In the wake of the exceptional surge in virtual transactions, the global economic sector faces an heightened danger of credit card fraud. This assessment paper examines the ancient evolution of fraud detection strategies, highlighting the constraints of traditional safety features. Drawing from great research, the have a look at emphasizes the importance of superior technologies like device learning, Block Chain, and large records analytics in strengthening economic protection. It additionally discusses the challenges and techniques worried in integrating these technologies into present structures. Thru rigorous checking out, the paper evaluates the effectiveness of these structures in figuring out and preventing various styles of fraud, emphasizing their critical function in building accept as true with and resilience in economic structures global. Moreover, by addressing modern-day challenges and emerging threats, the assessment contributes to efforts to decorate the integrity of financial transactions and set up an robust economic atmosphere for the society. Ultimately, it advocates for ongoing innovation in fraud detection strategies to hold and decorate the security of the global economic network.
Authors
- Punit Soni (ORCID: https://orcid.org/0000-0002-3805-486X)
- Himanshu Gupta (ORCID: https://orcid.org/0000-0001-8290-7666)
- Rajender Kumar
Institutions
- Chitkara University (IN)
Publication Details
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1109/acet61898.2024.10730085
- Citations
- 1
- Primary Topic
- Corruption and Economic Development
- Type
- article
- Field-Weighted Citation Impact
- 1.13