Random Decision Forest approach for Mitigating SQL Injection Attacks-Reference-Cited by-同舟云学术

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Random Decision Forest approach for Mitigating SQL Injection Attacks

Published:2021-07-09 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
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Author:

Aggarwal Pranjal,Kumar Akash,Michael Kshitiz,Nemade Jagrut,Sharma Shubham,C Pavan Kumar^ORCID

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9622410/9622346/09622689.pdf?arnumber=9622689

Cited by 6 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. A Cloud-Based SQLi Detection System Using Multi-Layer Regular Expression;2024 16th International Conference on Knowledge and Smart Technology (KST);2024-02-28

2. Detection SQL injection attacks against web application by using support vector machine with principal component analysis;AIP Conference Proceedings;2024

3. Analyzing SQL payloads using logistic regression in a big data environment;Journal of Intelligent Systems;2023-01-01

4. Countermeasure to Structured Query Language Injection Attack for Web Applications using Hybrid Logistic Regression Technique;Journal of the Nigerian Society of Physical Sciences;2022-10-01

5. A Novel SQL Injection Detection Using Bi-LSTM and TF-IDF;2022 7th International Conference on Information and Network Technologies (ICINT);2022-05

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