Results 41 to 50 of about 4,440,100 (389)

Safeguarding against Cyber Threats: Machine Learning-Based Approaches for Real-Time Fraud Detection and Prevention

Engineering Proceedings, 2023
The proliferation of internet services in various industries, especially the financial sector, has increased financial fraud. Fraud detection and prevention are critical to protecting both individuals and organizations from significant financial loss ...
Vikas R. Shetty, Pooja R., Rashmi Laxmikant Malghan   +2 more
doaj   +1 more source

Application of Machine Learning-Based K-means Clustering for Financial Fraud Detection

Academic Journal of Science and Technology
In today's increasingly digital financial landscape, the frequency and complexity of fraudulent activities are on the rise, posing significant risks and losses for both financial institutions and consumers.
Zengyi Huang, Haotian Zheng, Chen Li, Chang Che   +3 more
semanticscholar   +1 more source

Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach [PDF]

Journal of Theory and Practice of Engineering Science
Credit card fraud detection is a critical challenge in the financial sector, demanding sophisticated approaches to accurately identify fraudulent transactions.
Mengran Zhu, Ye Zhang, Yulu Gong, Changxin Xu, Yafei Xiang   +4 more
semanticscholar   +1 more source

Credit Card Fraud Detection Using State-of-the-art Machine Learning and Deep Learning Algorithms

IEEE Access, 2023
People can make use of credit card for online transactions as it provides efficient and easy-to-use facility. With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced. Credit card frauds cause significant financial
F. Alarfaj, Iqra Malik, Hikmat Ullah Khan, Naif Almusallam, Muhammad Ramzan, Muzamil Ahmed   +5 more
semanticscholar   +1 more source

Search Rank Fraud De-Anonymization in Online Systems

, 2018
We introduce the fraud de-anonymization problem, that goes beyond fraud detection, to unmask the human masterminds responsible for posting search rank fraud in online systems.
Akoglu Leman, Akoglu Leman, Fei Geli, Kaghazgaran Parisa, Karger David R, Mukherjee Arjun, Ott Myle   +6 more
core   +1 more source

Price Premiums for Single‐Name and Compound‐Name Geographical Indications in Swiss Cheese Trade

Agribusiness, EarlyView.
ABSTRACT Geographical indications (GIs) have become increasingly important in agri‐food markets, especially in Europe. For Swiss cheese imports and exports, we analyze whether GIs are associated with higher trade prices. We find that price premiums can be obtained for both exports and imports. However, this is only the case for cheeses with single name
Judith Irek
wiley   +1 more source

TRANSFORMING FINTECH FRAUD DETECTION WITH ADVANCED ARTIFICIAL INTELLIGENCE ALGORITHMS

Finance & Accounting Research Journal
The rapid evolution of financial technology (fintech) platforms has exponentially increased the volume and sophistication of financial transactions, concurrently elevating the risk and complexity of fraudulent activities.
Philip Olaseni Shoetan, Babajide Tolulope Familoni   +1 more
semanticscholar   +1 more source

Fraud Detection from a Business Perspective: Future Directions and Challenges [PDF]

, 2008
This contribution summarizes the state of the art of fraud detection in practice and shows the relations between the technology for fraud detection and intrusion detection.
, Bitz, Gunter, Flegel, Ulrich
core   +1 more source

Traceability of Agri‐Food Products: The Key to Conscious Trade

Agribusiness, EarlyView.
ABSTRACT Globalization and growing concerns about sustainability have led to improvements in product traceability, quality, and sustainability. Traceability contributes to environmental protection and supports sustainable development by fostering transparency in agricultural practices and encouraging the responsible use of resources.
Scarlett Queen Almeida Bispo, Fernanda Aparecida Silva, Michelle Márcia Viana Martins, Marcelo José Braga Nonnenberg, Ruan da Silva Vianna, Carla Cristina Passos Cruz   +5 more
wiley   +1 more source

AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review

IEEE Access
Rapid advancements in digital innovation and globalization has significantly increased the complexity of financial networks, making them more vulnerable to fraud.
Nusrat Jahan Sarna, Farzana Ahmed Rithen, Umme Salma Jui, Sayma Belal, Al Amin, Tasnim Kabir Oishee, A. K. M. Muzahidul Islam   +6 more
doaj   +1 more source