HAPV-FEL Transaction Risk Detection Data for IBM AML and SAML-D

Abstract

This dataset package is associated with the study “HAPV-FEL: Historical Consensus Verification and Recoverable Trust for Privacy-Preserving Federated Transaction Risk Detection.” It contains structured CSV representations corresponding to the IBM AML and SAML-D datasets used for cross-institutional transaction risk detection experiments. The data organization follows the experimental setting of 18 federated clients and 120 global training rounds. Each record includes client and round identifiers, transaction-related attributes such as time, amount, currency and payment type, graph-related account features, binary transaction-risk labels, and fields describing the adversarial federated-learning setting. The experimental protocol considers four attack types: label flipping, sign flipping, scaling, and Gaussian/model poisoning, with a nominal malicious-client ratio of 20%. The files are intended to support data inspection, machine-learning experiments, federated transaction-risk analysis, and reproduction of the experimental structure described in the study. Because the manuscript does not publish the complete record-level raw IBM AML and SAML-D data used in the experiments, the CSV records provided here are structured reconstructions based on the reported experimental configuration and should not be interpreted as the original raw transaction records.