Presented at Singapore Fintech Festival 2017

1. BIOMETRIC ACCURACY
REALITIES AND FALLACIES
Tony Chew
Chief Strategy Officer
V-Key (Singapore)
15 November 2017

2. Simpler, faster and stronger authentication
WHY WE NEED BIOMETRICS
2

3. voice
device
eye
IDENTITY VERIFICATION
password
personal data
behavior
3

4. Deployment of Biometrics in Banking
4
Eye

5. https://www.ocbc.com/personal-banking/online-banking/campaign/vocal-
password.html?cid=sg:en:others:ebiz:Vocal-Password:Launch:42644:social:Facebook:Link-Post::::
https://www.anz.com.au/promo
/personal/ways-bank/Voice-ID/
https://www.permata
bank.com/
5

7. AT OCBC, MY VOICE IS MY PASSWORD
7

8. VOCAL PASSWORD vs FREE SPEECH
8

9. ANDROID APPLEWINDOWS
FACE BIOMETRICS
FRR 5% @ FAR 0.001%
9

11. 11

12. FaceID accuracy 1 : 1,000,000
2D vs 3D12

14. 14

15. AUTHENTICATED
15

16. BIOMETRIC TEMPLATE IS IRREVERSIBLE
WHY ENCRYPT?
16

17. PASSWORD
INNOVATRICS IFACE 3.0
FRR 0.6% @ FAR 1%
FRR 1.2% @ FAR 0.1%
17

18. 18
ROC CURVE TEST SCENARIO
1,000 enrolments
1,000 live samples
Cross matching to plot FAR – FRR results
Expected outcomes:
1,000 genuine scores
999,000 impostor scores
1
Measuring biometric accuracy

19. 19

20. Mobile App Security
20
Device Binding
Jailbreak and Root
Detection
Device encryption
Push Notification
Secure Storage
Geolocation Fencing
Face Authentication
Voice Authentication
One-Time Password
Transaction Signing
Eye Authentication
Fingerprint Authentication

21. equivalent HSM security
21

22. Thank You
For any enquiries, please contact us at enquiries@v-key.com