About
Contact & Profiles
Research Areas
- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- Data Stream Mining Techniques
- Internet Traffic Analysis and Secure E-voting
- Digital and Cyber Forensics
- Spam and Phishing Detection
Viet Nam Government
2023
10.1016/j.cose.2024.104233
article
EN
Computers & Security
2024-12-01
Abstract—This paper proposes and develops a web attack detection model that combines clustering algorithm multi-branch convolutional neural network (CNN). The original feature set was clustered into clusters of similar features. Each cluster features generalized in structure branch the CNN. component vectors are assembled synthetic vector included fully connected layer for classification. Using K-fold cross-validation, accuracy proposed method 98.8%, F1-score is 98.9% improvement rate...
10.54654/isj.v2i12.120
article
VI
cc-by
Journal of Science and Technology on Information security
2021-07-14
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