STREAM-BSG maintains an incremental buyer-supplier graph in a streaming state store and computes a 49-dimensional feature vector online - 15 node, 18 edge, 14 subgraph, and 2 current-row change-detection features - before classification with XGBoost. It targets business-to-business payment fraud rather than the business-to-consumer card fraud most academic work addresses, and formalizes five fraud topologies documented in industry practice: vendor injection, invoice cycling, payment-term manipulation, shell-supplier rings, and wire redirection. This repository holds the companion code, figures, datasets, and full reproduction pipeline for the paper.
Abhishek Sharma· Zenodo (CERN European Organi...· 0 citations
STREAM-BSG maintains an incremental buyer-supplier graph in a streaming state store and computes a 49-dimensional feature vector online - 15 node, 18 edge, 14 subgraph, and 2 current-row change-detection features - before classification with XGBoost. It targets business-to-business payment fraud rather than the business-to-consumer card fraud most academic work addresses, and formalizes five fraud topologies documented in industry practice: vendor injection, invoice cycling, payment-term manipulation, shell-supplier rings, and wire redirection. This repository holds the companion code, figures, datasets, and full reproduction pipeline for the paper.
Abhishek Sharma· Zenodo (CERN European Organi...· 0 citations