Name
Title | ||
|---|---|---|
BankSealer: A decision support system for online banking fraud analysis and investigation |
Abstract | ||
|---|---|---|
The significant growth of online banking frauds, fueled by the underground economy of malware, raised the need for effective fraud analysis systems. Unfortunately, almost all of the existing approaches adopt black box models and mechanisms that do not give any justifications to analysts. Also, the development of such methods is stifled by limited Internet banking data availability for the scientific community. In this paper we describe BankSealer, a decision support system for online banking fraud analysis and investigation. During a training phase, BankSealer builds easy-to-understand models for each customer's spending habits, based on past transactions. First, it quantifies the anomaly of each transaction with respect to the customer historical profile. Second, it finds global clusters of customers with similar spending habits. Third, it uses a temporal threshold system that measures the anomaly of the current spending pattern of each customer, with respect to his or her past spending behavior. With this threefold profiling approach, it mitigates the under-training due to the lack of historical data for building well-trained profiles, and the evolution of users' spending habits over time. At runtime, BankSealer supports analysts by ranking new transactions that deviate from the learned profiles, with an output that has an easily understandable, immediate statistical meaning. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.cose.2015.04.002 | Computers & Security |
Keywords | Field | DocType |
Internet banking,Fraud detection,User profiling,Decision support system | Black box (phreaking),Ranking,Computer science,Computer security,Decision support system,Database transaction,Malware,Credential,Computational resource,The Internet | Journal |
Volume | ISSN | Citations |
53 | 0167-4048 | 7 |
PageRank | References | Authors |
0.51 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| michele carminati | 1 | 21 | 4.16 |
| roberto caron | 2 | 7 | 0.51 |
| Federico Maggi | 3 | 524 | 37.68 |
| Ilenia Epifani | 4 | 173 | 5.14 |
| Stefano Zanero | 5 | 736 | 53.78 |