STATISTICAL APPROACH FOR AUGMENTING SIGNATURE DETECTION IN WEB APPLICATION FIREWALL

• 1. 增强型FACH中的基于新增签名的随机签名序列分配方法 [P] . 中国专利： CN101500241B . 2011.01.19
• 2. 增强型FACH中的基于新增签名的随机签名序列分配方法 [P] . 中国专利： CN101500241A . 2009-08-05
• 3. A STATISTICAL APPROACH FOR AUGMENTING SIGNATURE DETECTION IN WEB APPLICATION FIREWALL [P] . 世界知识产权组织专利： WO2019246573A1 . 2019-12-26

  机译： Web应用程序防火墙中增强签名检测的统计方法

• 4. Detection system, web application device, web application firewall device, detection method in detection system, web application device detection method, and web application firewall device detection method [P] . 日本专利： JP6709909B2 . 2020.06.17
• 5. DETECTION SYSTEM, WEB APPLICATION DEVICE, WEB APPLICATION FIREWALL DEVICE, DETECTION METHOD FOR DETECTION SYSTEM, DETECTION METHOD FOR WEB APPLICATION DEVICE, AND DETECTION METHOD FOR WEB APPLICATION FIREWALL DEVICE [P] . 美国专利： US2018351913A1 . 2018-12-06

  机译： 检测系统，Web应用设备，Web应用防火墙设备，检测系统的检测方法，Web应用设备的检测方法和Web应用防火墙的检测方法

• 1. Statistics Modeling of Shallow Sea Ambient Noise and Its Applications in Low-frequency Line Spectrum Detection [J] . 杨秀庭, 赵晓哲, 李刚 防务技术:英文版 . 2011,第002期
• 2. PROJECTION BASED STATISTICAL FEATURE EXTRACTION WITH MULTISPECTRAL IMAGES AND ITS APPLICATIONS ON THE YELLOW RIVER MAINSTREAM LINE DETECTION [J] . Zhang Yanning, Zhang Haichao, Duan Feng, 电子科学学刊：英文版 . 2009,第003期
• 3. Signature-based and Machine-Learning-based Web Application Firewalls: A Short Survey [J] . Simon Applebaum, Tarek Gaber, Ali Ahmed Procedia Computer Science . 2021,第a期
• 4. A Machine-Learning-Driven Evolutionary Approach for Testing Web Application Firewalls [J] . Dennis Appelt, Cu D. Nguyen, Annibale Panichella, IEEE Transactions on Reliability . 2018,第3期
• 5. A Machine-Learning-Driven Evolutionary Approach for Testing Web Application Firewalls [J] . Appelt Dennis, Nguyen Cu D., Panichella Annibale, Fortschritte der Physik . 2018,第3期
• 6. Improving Web Application Firewalls through Anomaly Detection [C] . Gustavo Betarte, Eduardo Gimenez, Rodrigo Martinez, IEEE International Conference on Machine Learning and Applications . 2018
• 7. Exploiting Inherent Magnetic Signatures of Ferromagnetic Objects for Detection, Identification, and Position Estimation Applications. [D] . Taghvaeeyan, Saber. 2014
• 8. Two-Dimensional Augmented State–Space Approach with Applications to Sparse Representation of Radar Signatures [O] . Kejiang Wu, Xiaojian Xu 2019
• 9. A Machine-Learning-Driven Evolutionary Approach for Testing Web Application Firewalls [O] . Dennis Appelt, Cu D. Nguyen, Annibale Panichella, 2018
• 10. High-Level Adaptive Signal Processing Architecture with Applications to Radar Non-Gaussian Clutter. Volume 5. A New Approach to Radar Detection Based on the Partitioning and Statistical Characterization of the Surveillance Volume [R] . Slamani, M. A. 1995

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• 5. Web应用程序中异步请求时序问题检测研究 [A] . 吉华斌 . 2016