Web Behavior Detection Based on Deep Neural Network

摘要

Network security is a complex and difficult problem, in which web injection is one of the most serious security problems, especially webshell. A webshell is a malicious script used by an attacker with the intent to escalate and maintain persistent access to an already compromised Web application. To recognize the webshells, a tool to analyze the behavior of webshells is very important. In this paper, we design a deep neural network (DNN) and apply it into webshell detection. Results show that DNN has great potential for network security detection.