Name
Abstract | ||
|---|---|---|
We present a neural network based graph embedding method for detecting malicious accounts at Alipay, one of the world's leading mobile payment platform. Our method adaptively learns discriminative embeddings from an account-device graph based on two fundamental weaknesses of attackers, i.e. device aggregation and activity aggregation. Experiments show that our method achieves outstanding precision-recall curve compared with existing methods.
|
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3133956.3138827 | CCS |
Keywords | Field | DocType |
Malicious account detection, Graph embedding | Graph,Mobile payment,Computer science,Graph embedding,Theoretical computer science,Artificial neural network,Discriminative model | Conference |
ISBN | Citations | PageRank |
978-1-4503-4946-8 | 2 | 0.42 |
References | Authors | |
6 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ziqi Liu | 1 | 90 | 16.12 |
| Chaochao Chen | 2 | 115 | 19.04 |
| Jun Zhou | 3 | 51 | 16.84 |
| Xiaolong Li | 4 | 362 | 36.92 |
| Feng Xu | 5 | 448 | 69.80 |
| Tao Chen | 6 | 49 | 21.43 |
| Le Song | 7 | 2437 | 159.27 |