In subject area: Computer Science Fraud detection refers to the process of identifying and detecting fraudulent activities in various networks, such as telecommunication networks, social networks, and healthcare. It involves using data mining techniques and analyzing network properties to identify abnormal...
In fraud detection, the choice between blackbox and whitebox machine learning models depends on the specific needs and constraints of the organization. While blackbox models offer superior accuracy and scalability, whitebox models provide the transparency and trust necessary for regulatory compliance and...
Graph-based anomaly detection (GBAD) approaches are among the most popular techniques used to analyze connectivity patterns in communication networks and identify suspicious behaviors. Given the different GBAD approaches proposed for fraud detection, in this study, we develop a framework to synthesize ...
identity data-science machine-learning computer-vision risk-analysis risk verification passport fraud-prevention driverlicense fraud-detection risk-management fraud inference-engine risk-scores agedetection Updated Mar 23, 2021 Python mschermann / forensic_accounting Star 43 Code Issues Pull requests ...
The best solution for preventing fraud is to combine fraud detection software tools with dedicated fraud prevention services. Where do you start, though?
- Computer Science & Information Systems 被引量: 13发表: 2012年 Identifying E-Business Model: A Value Chain-Based Analysis E-business will change the ways that all companies do business, and most traditional businesses will evolve from their current business model to a combinat... Q Zeng,...
Financial fraud negatively impacts organizational administrative processes, particularly affecting owners and/or investors seeking to maximize their profits. Addressing this issue, this study presents a literature review on financial fraud detection thro
Many fraudsters test trends and look for gaps to exploit. To unlock the password on a credit card, a hacker may create a computer program that examines hundreds of pins every second at irregular intervals. Because fraud is frequently perpetrated in patterns, fraud detection software uses artificial...
With data mining, a thorough profiling and ranking of banks with respect to loan fraud risk can be achieved. To accomplish this, the large data cube on the mainframe will be used to gather all the relevant information. Then, the miner will be used to search for new fraud detection ...
Department of Computer Science, Merchant Venturers Building, University of Bristol, Woodland Road, BS8 1UB, Bristol, UK Michael Tunstall Institute of IT Security and Security Law, 94030, Passau, Germany Joachim Posegga Information Security Group, Smart Card Centre, University of London, Royal Hollow...