Name
Abstract | ||
|---|---|---|
Internet auction fraud has become prevalent. Methodologies for detecting fraudulent transactions use historical information about Internet auction participants to decide whether or not a user is a potential fraudster. The information includes reputation scores, values of items, time frames of various activities and transaction records. This paper presents a distinctive set of fraudster characteristics based on an analysis of 278 allegations about the sale of counterfeit goods at Internet auction sites. Also, it applies a Bayesian approach to analyze the relevance of evidence in Internet auction fraud cases. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15506-2_9 | ADVANCES IN DIGITAL FORENSICS VI |
Keywords | Field | DocType |
Internet auction fraud,Bayesian network,relevance of evidence | Internet privacy,Computer science,Bayesian network,Counterfeit,Database transaction,The Internet,Reputation,Bayesian probability | Conference |
Volume | ISSN | Citations |
337 | 1868-4238 | 9 |
PageRank | References | Authors |
0.68 | 11 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Y. K. Kwan | 1 | 64 | 9.93 |
| Richard E. Overill | 2 | 84 | 17.11 |
| Kam-Pui Chow | 3 | 283 | 39.82 |
| Jantje A. M. Silomon | 4 | 18 | 2.95 |
| Hayson Tse | 5 | 35 | 4.62 |
| Frank Y. W. Law | 6 | 63 | 9.46 |
| Pierre K. Y. Lai | 7 | 75 | 10.54 |