See through Biometrics

12009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011NOV. 26, 2009

BIOMETRICS

2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011

SEE THROUGH

Prepared by Group 5Winnie Cheung, Zeyu Zhao, Stefan Mihai Preoteasa, Hsuan-Yi Wu (Jen), and Cheng-Yu Huang

22009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011NOV. 26, 2009 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011

OUTLINE

INTRODUCTION OF BIOMETRICSBIOMETRICS / TECHNOLOGY SYSTEM / TYPES

SOCIAL SHAPING OF BIOMETRICSSCOT / ISSUES / PERFORMANCE

ETHICS & SOCIAL CONSTRUCTIONARGUMENTS / DISCUSSIONS / ACTOR NETWORK

DIFFUSION, ADOPTION AND CONSUMPTION

CONCLUSION & THE FUTURE


WHAT IS BIOMETRICS?

“the automatic personal recognition based on physiological or behavioural characteristics”

Jain, A, et al. (1999)

Properties

Universal

Distinctive

Collectable

Permanence


TECHNOLOGY SYSTEM

Enrolment

Scan/Capture Template Created

Stored on Database

Database

Identification Verification


TYPES

Behavioural Gait Speech Signature

Physiological Fingerprint Face Vascular Patterns

Iris Retina DNA


SCOT

Interpretative flexibility

– Variation

– Selection

Closure mechanisms

Relevant Social groups

– Society

– Economy

– Organization

– Individual


Liveness testing-Real person or some kind of simulation?

Large-scale system-Which bio-tech to use and by what level?

Biometric standards-International, national or regional? Hardware and software

Testing and evaluation

ISSUES


Efficiency-How much time biometric needs and how much time it can save?

Security-compare to traditional technologies?

Accuracy-what kind of fault might happen and faulty rate?

Interoperability and cost

Data maintenance-usage, storage, update, transmission

PERFORMANCE


Arguments and counter-arguments for biometrics:

Technical limits

Balkanization

Cooperation

Security

The debate over privacy: psychological comfort zone, self-esteem, the objectification of the body, loss of anonymity

ARGUMENTS


• Function creep and interoperability: – stored biometric data could be used for purposes that were not originally

foreseen, especially with the advances in system interoperability

– The temptation to function creep will grow along with the number of companies and organizations that will have access to biometric information

– Strict separation of government and commercial databases needed

• Potential for extreme and covert surveillance through more advanced technologies. Can lead to a feeling of discrimination and lack of trust for the government among the citizenry.

• Limiting individual rights vs. the Common Good: is sliding too far either way dangerous?

• The technology and it surrounding institutions need to be transparent and trusted in order for biometrics to be adopted and ethical.

• Conclusion: from the point of view of ethics, the social construction of biometrics can be best described by the ANT model

ETHICS & SOCIAL CONSTRUCTION


ACTOR NETWORK IN BIOMETRICS

Biometrics Technology

Citizenry

Ethical Concerns

Criminals/ Terrorists

Industry Standards

Commercial Companies

Governments


Government Sector

Financial Sector

Healthcare and Biotechnology Sector

Travel & Immigration Sector

Private Sector / Consumer Markets

DIFFUSION & ADOPTIONFrom government to citizens,

from organization to consumers


REVENUES OF BIOMETRICS


USES OF BIOMETRICS


CONCLUSION

Biometrics as a technology……… (evolution point of view)

What biometrics needs is greater transparency and trust from the usersamong the population.

There is a large potential for biometrics in consumer market.

Future application and scenario will be human-centric focusing on not only security but also convenience, health, satisfaction and interaction.


FUTURE SCENARIO

Biometrics will not only about itself. It is about the combined and integrated application in all sectors, especially with IT.

- RFID

- Flexible Electronics

- Simulation

- Interactive Design

- …………………


FUTURE SCENARIO

http://www.youtube.com/watch?v=DQdGvfV4WnU


Thanks for your attention.Questions are welcome!

Prepared by Group 5Winnie Cheung, Zeyu Zhao, Stefan Mihai Preoteasa, Hsuan-Yi Wu (Jen), and Cheng-Yu Huang

BIOMETRICSSEE THROUGH

See through Biometrics

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