Deep Autoencoders and Feedforward Networks Based on a New Regularization for Anomaly Detection
Anomaly detection is a problem with roots dating back over 30 years. The NSL-KDD dataset has become the convention for testing and comparing new or improved models in this domain. In the field of network intrusion detection, the UNSW-NB15 dataset has recently gained significant attention over the NS...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi-Wiley
2020-01-01
|
| Series: | Security and Communication Networks |
| Online Access: | http://dx.doi.org/10.1155/2020/7086367 |