Web application firewall using character-level convolutional neural network

• Published in: 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA) pp. 103 - 106
• Main Authors: Ito, Michiaki, Iyatomi, Hitoshi
• Format: Conference Proceeding
• Language: English; Japanese
• Published: IEEE 01.03.2018
• Subjects: Convolution; deep learning; Feature extraction; Graphics processing units; Kernel; Machine learning; network intrusion detection; SQL injection; web application firewall

Web applications can be maliciously exploited by malicious HTTP requests. Normally, web application firewall (WAF) protects web applications from known attacks using pattern matching method. However, introduction of WAF is usually expensive as it requires the definition of patterns according to the...