Appelt, D., Nguyen, D. C., Panichella, A., & Briand, L. (September 2018). A Machine Learning-Driven Evolutionary Approach for Testing Web Application Firewalls. IEEE Transactions on Reliability, 67 (3), 733-757. doi:10.1109/TR.2018.2805763 Peer Reviewed verified by ORBi |
Appelt, D., Panichella, A., & Briand, L. (2017). Automatically Repairing Web Application Firewalls Based on Successful SQL Injection Attacks. In The 28th IEEE International Symposium on Software Reliability Engineering (ISSRE) (pp. 339-350). IEEE. doi:10.1109/ISSRE.2017.28 Peer reviewed |
Appelt, D. (2016). Automated Security Testing of Web-Based Systems Against SQL Injection Attacks [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/27947 |
Appelt, D., Nguyen, D. C., & Briand, L. (2016). Automated Testing of Web Application Firewalls. (TR-SnT-2016-1). |
Ceccato, M., Nguyen, D. C., Appelt, D., & Briand, L. (2016). SOFIA: An Automated Security Oracle for Black-Box Testing of SQL-Injection Vulnerabilities. In Proceedings of the 31th IEEE/ACM International Conference on Automated Software Engineering. Peer reviewed |
Appelt, D., Nguyen, D. C., & Briand, L. (2015). Behind an Application Firewall, Are We Safe from SQL Injection Attacks? In 2015 IEEE 8th International Conference on Software Testing, Verification, and Validation (ICST). doi:10.1109/ICST.2015.7102581 Peer reviewed |
Appelt, D., Nguyen, D. C., Briand, L., & Alshahwan, N. (2014). Automated Testing for SQL Injection Vulnerabilities: An Input Mutation Approach. In Proc. of the International Symposium on Software Testing and Analysis 2014. Peer reviewed |
Appelt, D., Alshahwan, N., Nguyen, D. C., & Briand, L. (2014). Black-box SQL Injection Testing. (TR-SnT-2014-1). |
Appelt, D., Alshahwan, N., & Briand, L. (2013). Assessing the Impact of Firewalls and Database Proxies on SQL Injection Testing. In Springer LNCS series. Peer reviewed |