Iranian Bank Transactions Fraud Detection (IBT-FD) Dataset
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
Files
(163.4 kB)
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