TRUST TECH CONFERENCE FINGERPRINT SENSING FOR PIN … · Hemant Mardia, CEO ©2016 IDEX ASA...

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©2016 IDEX ASA ©2016 IDEX ASA TRUSTECH CONFERENCE FINGERPRINT SENSING FOR PIN AND PASSWORD REPLACEMENT BEYOND SMARTPHONES November 2016 Hemant Mardia, CEO www.idex.no

Transcript of TRUST TECH CONFERENCE FINGERPRINT SENSING FOR PIN … · Hemant Mardia, CEO ©2016 IDEX ASA...

Page 1: TRUST TECH CONFERENCE FINGERPRINT SENSING FOR PIN … · Hemant Mardia, CEO ©2016 IDEX ASA FINGERPRINT FOR MOBILE ... • ISO-1 Card thickness 0.76mm • Minimal compute cycles and

©2016 IDEX ASA©2016 IDEX ASA

TRUSTECH CONFERENCE

FINGERPRINT SENSING FOR PIN AND PASSWORD REPLACEMENT BEYOND SMARTPHONES

November 2016

Hemant Mardia, CEO

www.idex.no

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©2016 IDEX ASA

FINGERPRINT FOR MOBILE

Apple unlocked the potential for the mass market.

Well suited for multiple secure use cases: payment, door access, App login, etc.

53% of consumers prefer fingerprint for authentication (Visa study Jul’16)

Markets beyond mobile need strong authentication for secure applications

Identify the genuine user, not what they know

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GROWTH DRIVERS FOR FINGERPRINT IN SMART CARDS/IOT

Four Key ingredients for fingerprint growth are currently present in the Smart Cards and IoT markets…

Fingerprint

Consumer Applications

Requiring Protection

(payments, access control…)

Threat vectors

(Credit card fraud and IoT Botnet attacks)

Consumer adoption and acceptance

Growing market

Smart cards and IoT

…But what are the challenges? These markets are very different from mobile requiring a different solution set to overcome

Mirai Botnet AttackExploited default factory passwords

South African Social Security card

Nigerian National ID card

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MOBILE FINGERPRINT REQUIREMENTS

Small rigid sensors running computationally intensive pattern matchers

Performance/cost/footprint tradeoff achieved with capacitive sensors

• Rigid formfactor to match phone• Small X and Y dimension to

minimize footprint• Captures subset of total fingerprint• Large Z height available• Complex PCB routing

• Constant power available for realtime sensor drift calibration

• Noise immunity• 2-3 year typical lifespan

• High compute cycles (access to the Application Processor at GHz cycles)

• Standard OS framework• Support 3rd party Apps• Navigation

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SMART CARDS FINGERPRINT REQUIREMENTS

Favors larger sensors with low compute minutiae plus matchers

Natural fit for low power off-chip capacitive sensing

• Flexible sensors compliant to ISO 10373• Larger image size optimised for user & enrolment

scenarios• Very limited Z height available

• Contactless energy harvesting produces very little current• No power is available for runtime sensor drift calibration

• ISO-1 Card thickness 0.76mm

• Minimal compute cycles and memory available on secure EMV chip

• MHz compute cycles• Minimal memory (order

of KB)• Lightweight algorithms • Small template sizes

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SMART CARDS FINGERPRINT FOR MANUFACTURING

Integrate into established supply chain and manufacturing processes

Thin, flexible – meet ISO 10373 bend tests

Existing standard infrastructure & terminals

Polymer sensor optimised to meet card requirements in volume

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IOT FINGERPRINT REQUIREMENTS

Emerging and fragmented market

Highly diverse products ranging from wearables to smart remotes, home automation, etc.

Standards are still evolving

Support multiple proprietary OS’s

Individual market segment drives some key requirements

• Personalization use case allows moderate FAR/FRR

• Slim remote control width favors a grip by user’s hand – optimal for a thumb sensor on the curved side of the remote

CONSUMER PORTABLES

Wearable Smart Remote

• Payment use case mandates high FAR/low FRR

• Flexible sensors for wrist strap location

• Shared host MCU (not dedicated for fingerprint)

• Prefer library solutions• Small compute cycles and

memory available on MCU• Lightweight algorithms • Small template sizes• Large area sensors

advantageous • Power sensitive battery

operated devices

Common Requirements

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IOT FINGERPRINT REQUIREMENTS

Nature of the IoT/Embedded market necessitates a platform approach allowing customers to easily integrate biometrics and scale

• Access security: High FAR/FRR requirement

• Dedicated biometric MCU available but may be CPU cycle challenged

• Large area sensors acquire more matching points with less processing

• Low power• Secure PASS/FAIL reporting• Headless devices (no

display) prefer easier enrollment on large sensors

• More X-Y footprint available

INDUSTRIAL/HOME AUTOMATION

Door LockSmart Automation

• Shared host AP may be available• May have wall power• Suitable for rigid small sensors• Limited X-Y footprint available on device

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CONCLUSION

Smartcards and IoT segments are emerging adopters of fingerprint sensing and authentication requirements evolving

Flexible off-chip sensors are suited to meet the consumer experience and security needs of these resource and space constrained markets

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©2016 IDEX ASA©2016 IDEX ASA

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