A CNN-based Approach to the Detection of SQL Injection Attacks-Reference-Cited by-同舟云学术

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A CNN-based Approach to the Detection of SQL Injection Attacks

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/ACIS 18th International Conference on Computer and Information Science (ICIS)
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Author:

Luo Ao,Huang Wei,Fan Wenqing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8935329/8940151/08940196.pdf?arnumber=8940196

Cited by 18 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. RHM: Novel Graph Convolution Based on Non-Local Network for SQL Injection Identification;2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2024-07-06

2. Continuous Monitoring of Web Server Assaults Using Machine Learning;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

3. Securing web applications against XSS and SQLi attacks using a novel deep learning approach;Scientific Reports;2024-01-20

4. A deep learning approach based on multi-view consensus for SQL injection detection;International Journal of Information Security;2024-01-09

5. Security threat analysis and countermeasure using ML in cloud;AIP Conference Proceedings;2024

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