基于用户击键数据的异常入侵检测模型

An Abnormal Intrusion Detection Model Based on User's Keystrokes

改进了Apriori关联规则算法,通过对正常用户击键数据的规则挖掘,建立用户的正常特征轮廓,并以此对新用户的击键数据实行异常入侵检测.实验结果表明,本文提出的模型具有一定的入侵检测功能.

The Apriori association rules are improved. Through mining the rules of normal user's keystrokes, we set up the user's characteristic profiles. Then we use the profiles to do abnormal intrusion detection for a new user's keystroke data. The results show that this model can realize some functions of intrusion detection.