Web Application Attack Detection Based on Attention and Gated Convolution Networks
This paper proposes an anomaly detection model based on the reconstruction error to detect malicious requests in a Web application. Our model combines a multi-head attention network and gated convolution network to capture the pattern of a normal request. Moreover, we use a novel segmentation method...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8911430/ |