FraudZen Dataset: Realistic Ground Truth CDRs of Bypass Fraud Techniques in Mobile Networks
收藏Recherche Data Gouv France2025-01-01 更新2026-04-09 收录
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https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/TAV6PQ
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资源简介：
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.
创建时间：
2025-01-01
