DocumentCode :
1096473
Title :
Spoof Attacks on Gait Authentication System
Author :
Gafurov, Davrondzhon ; Snekkenes, Einar ; Bours, Patrick
Author_Institution :
NISLab, Gjovik Univ. Coll., Gjovik
Volume :
2
Issue :
3
fYear :
2007
Firstpage :
491
Lastpage :
502
Abstract :
Research in biometric gait recognition has increased. Earlier gait recognition works reported promising results, usually with a small sample size. Recent studies with a larger sample size confirm gait potential as a biometric from which individuals can be identified. Despite much research being carried out in gait recognition, the topic of vulnerability of gait to attacks has not received enough attention. In this paper, an analysis of minimal-effort impersonation attack and the closest person attack on gait biometrics are presented. Unlike most previous gait recognition approaches, where gait is captured using a (video) camera from a distance, in our approach, gait is collected by an accelerometer sensor attached to the hip of subjects. Hip acceleration in three orthogonal directions (up-down, forward-backward, and sideways) is utilized for recognition. We have collected 760 gait sequences from 100 subjects. The experiments consisted of two parts. In the first part, subjects walked in their normal walking style, and using the averaged cycle method, an EER of about 13% was obtained. In the second part, subjects were trying to walk as someone else. Analysis based on FAR errors indicates that a minimal-effort impersonation attack on gait biometric does not necessarily improve the chances of an impostor being accepted. However, attackers with knowledge of their closest person in the database can be a serious threat to the authentication system.
Keywords :
biometrics (access control); error analysis; gait analysis; image recognition; message authentication; accelerometer sensor; biometric gait recognition; closest person attack; gait authentication system; gait biometrics; hip acceleration; minimal-effort impersonation attack; spoof attacks; Authentication; Biometrics; Biosensors; Cameras; Databases; Fingerprint recognition; Hip; Legged locomotion; Sensor phenomena and characterization; Wearable sensors; Biometric security; gait mimicking; gait recognition; impersonation attacks; wearable sensor;
fLanguage :
English
Journal_Title :
Information Forensics and Security, IEEE Transactions on
Publisher :
ieee
ISSN :
1556-6013
Type :
jour
DOI :
10.1109/TIFS.2007.902030
Filename :
4291542
Link To Document :
بازگشت