Research of attacks feature extraction based on Webdecoy
HE Ju-hou · Jisuanji gongcheng yu sheji · 2010
To solve the web application security problem effectively,the feature extraction model based on Webdecoy is proposed based on the specific web-application.Following access to the system by the insertion of monitoring code,and the attack information can be detected.Then this information is normalized and divided of attribute,the similar structure of attack requests can be obtained by comparing their attributes dynamically,finally the access request is detected and the alarm of malicious acts is given.The experimental result proves the efficiency of the model.