Name
Title | ||
|---|---|---|
GSketch: A Comprehensive Graph Analytic Approach for Masquerader Detection Based on File Access Graph |
Abstract | ||
|---|---|---|
Masqueraders are a severe insider threat and have become a conventional security issue for most organizations. The majority of existing techniques for detecting masqueraders extract statistical features from file access logs. However, the graph's features from these logs have not been fully explored. In this work, we introduce GSketch. First, it divides each user's file access logs into equal leng... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISCC53001.2021.9631465 | 2021 IEEE Symposium on Computers and Communications (ISCC) |
Keywords | DocType | ISBN |
Computers,Organizations,Feature extraction,Security,Detection algorithms | Conference | 978-1-6654-2744-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianguo Jiang | 1 | 0 | 1.01 |
| Xu Wang | 2 | 0 | 0.34 |
| Yan Wang | 3 | 0 | 1.35 |
| Qiujian Lv | 4 | 0 | 2.03 |
| MeiChen Liu | 5 | 0 | 0.34 |
| Tingting Wang | 6 | 0 | 1.01 |
| LeiQi Wang | 7 | 0 | 0.34 |