DeepSQLi: deep semantic learning for testing SQL injection
Author:
Affiliation:
1. University of Electronic Science and Technology of China, China
2. University of Exeter, UK
3. Loughborough University, UK
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3395363.3397375
Reference33 articles.
1. Automated testing for SQL injection vulnerabilities: an input mutation approach
2. A Machine-Learning-Driven Evolutionary Approach for Testing Web Application Firewalls
3. Machine Learning in Security;Ariu Davide;Applications. Trans. MLDM,2015
4. Mutation Based SQL Injection Test Cases Generation for the Web Based Application Vulnerability Testing
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