关键词: 击键特征, 入侵检测, 身份认证, One-Class支持向量机

Abstract:

The keystroke sequences are dynamic behaviors which can be used to measure users’ characteristics，so it has many advantages to indicate users in system.Previous work in this area has shown the keystroke sequences as a real possibility to authenticate a user，but it needs a large user’s and imposter’s data set to establish a keystroke detection model，that’s impossible in practice，otherwise，it is more difficult to get imposter’s patterns than normal user’s.In this paper，we present an anomaly detection model based on keystroke sequences，by using OCSVM algorithm，it only needs a few owner’s patterns to establish an anomaly detection model.Experimental results show that the OCSVM algorithm is promising.

Key words: keystroke characteristics, intrusion detection, identity authentication, OCSVM