Method For Wep Application Security Risk Detection Using Deep Neural Network

摘要

The present invention is a web application security risk using a deep neural network that enables the prevention of cyber threats that are difficult to detect in the current security system for the complex syntax form of the service layer (HTTP: Hypertext Transfer Protocol), which is the application layer of the TCP/IP model. It is about detection techniques.