Malicious Web Request Detection Using Character-Level CNN-Reference-Cited by-同舟云学术

Malicious Web Request Detection Using Character-Level CNN

Published:2019 Issue: Volume: Page:6-16
ISSN:0302-9743
Container-title:Machine Learning for Cyber Security
language:
Short-container-title:

Author:

Rong Wei,Zhang Bowen,Lv Xixiang

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-30619-9_2

Reference18 articles.

1. WAF malicious queries data sets. https://github.com/faizann24/Fwaf-Machine-Learning-driven-Web-Application-Firewall

2. Cloud security report of alert logic (2017). https://www.alertlogic.com/resources/cloud-security-report-2017/

3. Web application attacks accounted for 73% of all incidents says report (2017). https://www.scmagazineuk.com/web-application-attacks-accounted-for-73-of-all-incidents-says-report/article/682004/

4. Web attack visualization (2018). https://www.akamai.com/uk/en/about/our-thinking/state-of-the-internet-report/web-attack-visualization.jsp

5. Abadi, M., et al.: TensorFlow: large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015). http://tensorflow.org

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