Published March 27, 2025 | Version v1

Iranian Bank Transactions Fraud Detection (IBT-FD) Dataset

  • 1. ROR icon Tarbiat Modares University

Description

Iranian Bank Transactions Fraud Detection (IBT-FD) Dataset

The Iranian Bank Transactions Fraud Detection (IBT-FD) dataset is prepared for research and development in fraud detection. The dataset consists of anonymized financial transaction features along with a binary fraud label.

Dataset Description

The dataset contains **22 anonymized numerical features** along with a **Fraud** column, which indicates whether a transaction is fraudulent (`1`) or not (`0`). The original transaction details have been anonymized to protect privacy and comply with data security regulations.

Features:

- `feature_0` to `feature_21`: Anonymized numerical features representing transaction attributes.
- `Fraud`: Target variable (`1` for fraudulent transactions, `0` for non-fraudulent transactions).

Sample Data:

feature_0 feature_1 ... feature_21 Fraud
-0.21999   -0.28898   ... -0.57917   0
1.87441   -0.28898   ... -0.57917   0
-0.28066   1.57993   ... -0.57917   0

 

Disclaimer

- The dataset features have been anonymized and do not correspond to actual transaction attributes.
- The dataset is provided for research purposes only and should not be used for real-world financial decision-making.

Files

IBT-FD.zip

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