Research Article
Web Application Firewall Using Machine Learning and Features Engineering
Table 2
Extracted features of the proposed model.
| Feature | Description |
| Input length | Number of characters in payload | Alphanumeric character ratio | The ratio of alphanumeric characters over input length | Special characters ratio | The ratio of nonalphanumeric characters over input length | Attack weight | Sum of five subfeatures (see Table 3): | (i) URL weight | (ii) Number of attack words in inputs | (iii) Manipulate payload weight | (iv) Alphanumeric character to special character ratio | (v) Files weight |
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