Machine Learning-based web security intrusion detection system

Author:

Chen Chuanlin1,Zhong Jing2,Chen Wenjie3

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences),School of Cyberspace Security,Jinan,China,250353

2. Nanjing University of Information Science & Technology,School of Computer Science, School of Software, School of Cyberspace Security,Nanjing,China,210044

3. Guangdong University of Finance,Financial Mathematics and Statistics,Guangzhou,China,510521

Publisher

IEEE

Reference7 articles.

1. An Efficient SQL Injection Detection System Using Deep Learning;k;2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE),2021

2. SQL Injection Impact on Web Server and Their Risk Mitigation Policy Implementation Techniques: An Ultimate solution to Prevent Computer Network from Illegal Intrusion;sadotra;International Journal of Advanced Research in Computer Science,2017

3. XSS Detection Technology Based on LSTM-Attention

4. SQL Injection detection using machine learning”. 2014 International Conference on Control, Instrumentation;joshi;Communication and Computational Technologies (ICCICCT),2014

5. XSS Attack Detection With Machine Learning and n-Gram Methods

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1. A Comprehensive Evaluation of Machine Learning Algorithms for Web Application Attack Detection with Knowledge Graph Integration;Mobile Networks and Applications;2024-07-19

2. Niect: A Model for Intrusion Security Detection Applied to Campus Video Surveillance Edge Networks;2024 IEEE 11th International Conference on Cyber Security and Cloud Computing (CSCloud);2024-06-28

3. Comparing Machine Learning for SQL Injection Detection in Web Systems;2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI);2023-11-25

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