Pham Sy Nguyen

ORCID: 0009-0002-0062-6823
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About
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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

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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