A Machine-Learning-Driven Evolutionary Approach for Testing Web Application Firewalls-Reference-Cited by-同舟云学术

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A Machine-Learning-Driven Evolutionary Approach for Testing Web Application Firewalls

Published:2018-09 Issue:3 Volume:67 Page:733-757
ISSN:0018-9529
Container-title:IEEE Transactions on Reliability
language:
Short-container-title:IEEE Trans. Rel.

Author:

Appelt Dennis,Nguyen Cu D.,Panichella Annibale^ORCID,Briand Lionel C.

Funder

European Research Council ERC under the European Unions Horizon 2020 Research and Innovation Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/24/8452065/08395015.pdf?arnumber=8395015

Cited by 39 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

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3. Break the Wall from Bottom: Automated Discovery of Protocol-Level Evasion Vulnerabilities in Web Application Firewalls;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

4. Analysis of SQL injection attacks in the cloud and in WEB applications;SECURITY AND PRIVACY;2024-01-18

5. AdvSQLi: Generating Adversarial SQL Injections Against Real-World WAF-as-a-Service;IEEE Transactions on Information Forensics and Security;2024

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