Name
Abstract | ||
|---|---|---|
Deep learning methods, e.g., convolutional neural networks (CNNs) and Recurrent Neural Networks (RNNs), have achieved great success in image processing and natural language processing especially in high level vision applications such as recognition and understanding. However, it is rarely used to solve information security problems such as attack detection studied in this paper. Here, we move forw... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TSUSC.2018.2793284 | IEEE Transactions on Sustainable Computing |
Keywords | DocType | Volume |
Feature extraction,Training,Recurrent neural networks,Machine learning,Intrusion detection,Data preprocessing | Journal | 5 |
Issue | Citations | PageRank |
2 | 12 | 0.61 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Jiang | 1 | 304 | 37.75 |
| Yunsheng Fu | 2 | 27 | 2.99 |
| B. B. Gupta | 3 | 518 | 46.49 |
| Yongsheng Liang | 4 | 13 | 4.00 |
| Seungmin Rho | 5 | 441 | 38.53 |
| Fang Lou | 6 | 17 | 3.07 |
| Fanzhi Meng | 7 | 15 | 2.02 |
| Zhi-Hong Tian | 8 | 312 | 52.75 |