FraudZen Dataset: Realistic Ground Truth CDRs of Bypass Fraud Techniques in Mobile Networks

DOI

This dataset contains synthetic call‑detail records (CDRs) generated with the open‑source FraudZen simulator. FraudZen models legitimate mobile subscribers and SIMBox fraudsters under multiple threat strategies (mobility, traffic, social, and their combinations, in both naïve and advanced variants). The traces cover different fraud–prevalence levels (3 % and 12 % of the country's incoming international calls) and varying numbers of fraudulent SIM cards (from 5 to 200) per simulation run, offering a rich test‑bed for benchmarking anomaly‑ and fraud‑detection algorithms in cellular networks.

FraudZen, 1.0

En-WDM, 1.0

Identifier
DOI https://doi.org/10.57745/TAV6PQ
Related Identifier IsCitedBy https://doi.org/10.1145/3634737.3657023
Related Identifier IsCitedBy https://doi.org/10.1145/3565477.3569161
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/TAV6PQ
Provenance
Creator Anne Josiane Kouam ORCID logo; Aline Carneiro Viana ORCID logo; Alain Tchana ORCID logo
Publisher Recherche Data Gouv
Contributor Anne Josiane Kouam; Institut National de Recherche en Informatique et Automatique; Entrepôt Recherche Data Gouv
Publication Year 2025
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Anne Josiane Kouam (INRIA - Institut National de Recherche en Informatique et Automatique)
Representation
Resource Type Dataset
Format application/zip
Size 133673626
Version 1.0
Discipline Computer Science; ['Mobile cellular networks']; ['SIMBox fraud modeling']; ['Fraud detection']