Name
Title | ||
|---|---|---|
Enhanced fraud detection as a service supporting merchant-specific runtime customization. |
Abstract | ||
|---|---|---|
We present a customizable, yet scalable data processing architecture for payment processors that aim to offer fraud detection as a service to e-commerce merchants. Due to the increasing complexity of payment solutions and the continuous evolution of fraud patterns, rule-based detection of fraudulent payments is no longer adequate. Our solution is implemented as a K-architecture for streaming big data, augmented with semantic web techniques to enable constrained customization for merchants. Our evaluation shows that our data processing architecture meets the stringent real-time processing limits of payment transactions, while offering runtime customization for multiple merchants. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3019612.3019886 | SAC |
Field | DocType | Citations |
Payment processor,Architecture,Data processing,Computer science,Computer security,Semantic Web,Big data,Payment,Database,Scalability,Personalization | Conference | 1 |
PageRank | References | Authors |
0.35 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davy Preuveneers | 1 | 705 | 65.56 |
| Bavo Goosens | 2 | 1 | 0.35 |
| Wouter Joosen | 3 | 2898 | 287.70 |