BioTouchPass Demo: Handwritten Passwords for Touchscreen Biometrics

BioTouchPass enhances traditional authentication systems based on Personal Identification Numbers (PIN) and One-Time Passwords (OTP) through the incorporation of biometric information from handwriting as a second level of user authentication. In our proposed approach, users draw each digit of the password on the touchscreen of the device instead of typing them as usual. This way the security of the authentication system increases as impostors need more than the traditional password to get access to the system. BioTouchPass achieves results with Equal Error Rates (EERs) ca. 4.0% when the attacker knows the password, outperforming other authentication schemes based on touch biometrics, and providing a user-friendly interface easily adaptable to a variety of mobile devices and application scenarios.

[1]  Zhen Ling,et al.  My Google Glass Sees Your Passwords! , 2014 .

[2]  Adam J. Aviv,et al.  Smudge Attacks on Smartphone Touch Screens , 2010, WOOT.

[3]  Rajesh Kumar,et al.  Beware, Your Hands Reveal Your Secrets! , 2014, CCS.

[4]  Steven Furnell,et al.  Surveying the Development of Biometric User Authentication on Mobile Phones , 2015, IEEE Communications Surveys & Tutorials.

[5]  Julian Fierrez,et al.  Reducing the template ageing effect in on-line signature biometrics , 2019, IET Biom..

[6]  Julian Fiérrez,et al.  Preprocessing and Feature Selection for Improved Sensor Interoperability in Online Biometric Signature Verification , 2015, IEEE Access.

[7]  Frank Stajano,et al.  The Quest to Replace Passwords: A Framework for Comparative Evaluation of Web Authentication Schemes , 2012, 2012 IEEE Symposium on Security and Privacy.

[8]  Julian Fierrez,et al.  Exploring Recurrent Neural Networks for On-Line Handwritten Signature Biometrics , 2018, IEEE Access.

[9]  Javier Galbally,et al.  A New Multimodal Approach for Password Strength Estimation—Part I: Theory and Algorithms , 2017, IEEE Transactions on Information Forensics and Security.

[10]  Julian Fierrez,et al.  Benchmarking Touchscreen Biometrics for Mobile Authentication , 2018, IEEE Transactions on Information Forensics and Security.

[11]  Julian Fiérrez,et al.  MobileTouchDB: Mobile Touch Character Database in the Wild and Biometric Benchmark , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[12]  Julian Fierrez,et al.  BioTouchPass: Handwritten Passwords for Touchscreen Biometrics , 2020, IEEE Transactions on Mobile Computing.

[13]  Julian Fierrez,et al.  Benchmarking desktop and mobile handwriting across COTS devices: The e-BioSign biometric database , 2017, PloS one.