Emerging Biometric Applications

1. Emerging BiometricApplications Expectations and Reality (in 25 minutes or less!)

2. An Emerging Technology

3. What are Biometrics? The term biometrics refers to a science involving the standard analysis of biological characteristics. A biometric is a unique, measurable characteristic or trait of a human being for automatically recognising or verifying identity.

4. Who are you? No, who are you, really???

5. Authentication Methods in Network & Internet Security • Something you know • Passwords • PINs • Mother’s maiden name • Something you have • ATM card • Smart card • Digital certificate • Something you are • Biometrics • Positive identification • Never lost or stolen

6. Innate Iris Retina Ear Fingerprint Palm / hand Face (visual & heat) Skin detail / veins DNA / Blood / Saliva / anti-bodies Heart rhythm Footprint Lips Behavioral Gait Signature Typing style Mixed Voice Body odour Biometrics

7. Why Biometrics? “Biometric identification (e.g., fingerprints, face and voice) will emerge as the only way to truly authenticate an individual, which will become increasingly important as security and privacy concerns grow.” - Gartner Group 26th April 2000

8. Store Present biometric Capture Process IDENTIFIED Compare Match No Match DENIED Present biometric Capture Process How do Biometrics Work? Enrolment: Add a biometric identifier to a database Fingerprint, Voice, Facial or Iris Verification: Match against an enrolled record

9. Fingerprint Image Identification

10. Randomness

11. Accuracy v. Affordability v. Acceptability 0 1 Affordability >> 2 3 4 Accuracy >> Courtesy, Veridicom Corp.

12. Benefits for the Consumer

13. Benefits of Biometrics Biometrics link a particular event to a particular individual, not just to a password or token, which may be used by someone other than the authorized user

14. Business Scenarios • The password problem • Remote access • Who is using our fee-based web-site? • Challenge-response tokens • Too many physical-access devices • Protecting the single-sign-on vault

15. The Password Problem • They’re either too easy or they’re written down somewhere! • Users forget them! • Help Desk has to sort out the mess!

16. The Password ProblemWrite it Down 47 28 8 16 % of respondents Never Occasionally Often Always Source: CCH

17. 4 62 29 5 % of respondents Zero 1-2 3-6 > 6 The Password ProblemResets per Year Source: CCH

18. The Password Problem • Identifiable costs • Lost productivity • Flow-on productivity losses • Support team • Management and infrastructure • US research - $340 per incident* • Anecdotal – some incidents over $AU10,000 *BioNetrix Corp - www.bionetrix.com/inserts.pdf

19. Choosing Technologies and Partners

20. Privacy Concerns and Ethics • Criminal stigma • 3rd party use of data • Sold or given for other than intended purpose • Provided to law enforcement • Unauthorized access • Identity theft • “Tracking” of actions through biometrics • Religious objections - “Mark of the Beast”

21. Australian Privacy Act NPP 4 – Data Security An organisation must take reasonable steps to protect the personal information it holds from misuse and loss and from unauthorised access, modification or disclosure.

22. Privacy Policy Recommendations • 5 basic principles • Notice – disclose ALL data captured • Access –anyone can view their stored data • Correction Mechanism • Informed Consent – no 3rd-party involvement • Reliability & Safeguarding

23. Who would use Biometrics • Strong identification and authentication • Medium – high data security • Non-repudiation (I didn’t do it!)

24. Who would use Biometrics • The last metre • Fee-for-service web sites • e-Commerce transaction verification

25. Selecting Biometric Technologies • User / environment considerations • Technology factors

26. Iris Face Finger Signature Voice Accuracy Very High Medium High High Medium Ease of Use Medium Medium High High High Barrier to Very High Medium High Medium Medium Attack User Medium Medium Medium Very High High Acceptability Long Term High Medium High Medium Medium Stability Interference Coloured Lighting Dryness Changing Noise, Contacts Aging, Dirt, Signatures Colds, Glasses, Age, Weather Hair Race Technology Comparison

27. Accuracy • False rejection rate • Measures how often an authorized user, who should be recognized by the system, is not recognized. • I am not recognised as me! • False acceptance rate • Measures how often a non-authorized user, who should not be recognized by the system, is falsely recognized. • You are pretending to be me!

28. d Non-matching prints Matching Threshold Matching prints False non-matches False matches Matching vs. Non-Matching Prints

29. Selecting a Biometric Solution Who can help?

30. Your Vendor / Consultant • Existing relationship • Ability to integrate biometrics into existing platform • Ability to draw on other experience

31. Australian Biometric Testing Organisation • Recently incorporated • Impartial tester • Education source • Government & industry funded • www.biomet.org/abto • abto@biomet.org • “Introduction to Biometrics” 1-day course August 30th

32. What problem are we solving? • If biometrics is the answer, what’s the question?

33. Evaluation Strategy • Define the requirements • Testing & trialing • Management buy-in • Internal champion (not the IT Manager)

34. Who is using it? • Connecticut Dept Social Welfare • Health Application • ABN-AMRO

35. What are some of the products?

36. Give Passwords the Finger!