Detection of SQL Injection and Cross-Site Scripting Based on Multi-Model CNN Combined with Bidirectional GRU and Multi-Head Self-Attention-Reference-Cited by-同舟云学术

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Detection of SQL Injection and Cross-Site Scripting Based on Multi-Model CNN Combined with Bidirectional GRU and Multi-Head Self-Attention

Published:2023-06-23 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Computer Communication and the Internet (ICCCI)
language:
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Author:

Hsiao Wei-Chun¹,Wang Chih-Hung¹

Affiliation:

1. National Chiayi University,Department of Computer Science and Information Engineering,Chiayi,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10210131/10210092/10210155.pdf?arnumber=10210155

Reference37 articles.

1. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

2. A survey on deep learning and its applications

3. A CNN-BiLSTM based Approach for Detection of SQL Injection Attacks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Request-Response Network Traffic Packets: Enhancing SQL Injection Attack Detection with a Transformer-Based Model;2023 9th International Conference on Computer and Communications (ICCC);2023-12-08

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