Improving static audio keystroke analysis by score fusion of acoustic and timing data

被引：0
作者：
Matúš Pleva
Patrick Bours
Stanislav Ondáš
Jozef Juhár
机构：
[1] Technical University of Košice,
[2] Department of Electronics and Multimedia Communications,undefined
[3] FEI,undefined
[4] NISlab - Norwegian Information Security Laboratory,undefined
[5] Department of Information Security and Communication Technology,undefined
来源：
Multimedia Tools and Applications | 2017年 / 76卷
关键词：
Biometrics; Keystroke dynamics; Timing analysis; Acoustical analysis; Authentication; Identification;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper we investigate the capacity of sound & timing information during typing of a password for the user identification and authentication task. The novelty of this paper lies in the comparison of performance between improved timing-based and audio-based keystroke dynamics analysis and the fusion for the keystroke authentication. We collected data of 50 people typing the same given password 100 times, divided into 4 sessions of 25 typings and tested how well the system could recognize the correct typist. Using fusion of timing (9.73%) and audio calibration scores (8.99%) described in the paper we achieved 4.65% EER (Equal Error Rate) for the authentication task. The results show the potential of using Audio Keystroke Dynamics information as a way to authenticate or identify users during log-on.
引用
收藏
页码：25749 / 25766
页数：17
相关论文
共 33 条
  • [1] Banerjee SP(2012)Biometric authentication and identification using keystroke dynamics: A survey J Pattern Recognition Research 7 116-139
  • [2] Woodard DL(2012)Continuous keystroke dynamics: A different perspective towards biometric evaluation Inf Secur Tech Rep 17 36-43
  • [3] Bours P(2007)Comparison of the adaptive authentication systems for behavior biometrics using the variations of self organizing maps Int J Comput Commun 1 108-116
  • [4] Dozono H(2009)Keyboard acoustic emanations revisited ACM Trans Inf Syst Secur (TISSEC) 13 3-14087
  • [5] Itou S(2016)A mobile authentication system resists to shoulder-surfing attacks Multimed Tools Appl 75 14075-832
  • [6] Nakakuni M(2016)Analysis of speaker recognition systems in realistic scenarios of the SITW 2016 challenge Interspeech 2016 828-4486
  • [7] Li Z(2015)Linear discriminant multi-set canonical correlations analysis (LDMCCA): an efficient approach for feature fusion of finger biometrics Multimed Tools Appl 74 4469-345
  • [8] Zhou F(2015)Investigating the discriminative power of keystroke sound IEEE Trans Inf Forensics Secur 10 333-758
  • [9] Tygar JD(2013)Two novel biometric features in keystroke dynamics authentication systems for touch screen devices Security and Communication Networks 7 750-605
  • [10] Luo J-N(2014)Online risk-based authentication using behavioral biometrics Multimed Tools Appl 71 575-undefined
1234