HIGHLIGHTS
- who: Chunhui Zhao and colleagues from the State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China have published the paper: Deep-Learning Based Injection Attacks Detection Method for HTTP, in the Journal: Mathematics 2022, 10, 2914. of /2022/
- what: The authors propose a more expressive feature fusion model which effectively combines the features extracted by deep learning with the discrete features extracted manually. Aiming at the unbalanced distribution of training samples, a sample generation method is proposed, which effectively alleviates the overfitting problem of model training caused by . . .
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