Biometrically Enabled Smartphones
The PlaBorm for mobile-ID
Jonas Anderssonꢀ
Director Mobile Payment, Mobile ID
Fingerprint Cards AB
WWW.FINGERPRINTS.COM
Fingerprint Sensor Main New iPhone 5S Feature
Phone 5s and 5c Sales Staꢀsꢀcs
Total number of iPhone 5s units sold Total number of iPhone 5c units sold
iPhone First Day Sales Staꢀsꢀcs
Number of iPhone 5s sales in the first 24 hours
Sales
9,750,000 5,800,000
Number Sold
2,750,000
Number of iPhone 5c pre-orders in the first 24 hours
1,320,000
Staꢀsꢀc Verificaꢀon
Source: Apple, AT&T, Sprint, Verizon Research Date: 11.12.2013
Another huge launch for Apple as they release their latest iPhone the 5s and 5c. Early reports show that the iPhone 5s will break the iPhone 5 first day sales records. The 5c hasn’t faired as well with die hard apple fans. A surveyor from Philip Elmer-DeWiN interviewed a number of people camping at the Apple Store and none were there for the 5c.
2014-02-01ꢀ
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ConfidenKalꢀ
2ꢀ
Mobileꢀ
•ꢀ 1st phone launched to the market in July (Japan)
•ꢀ Most demanding operator (DoCoMo)
Most experienced finger sensor phone OEM (Fujitsu)
•ꢀ 1st orean player (Pantech) launched in August •ꢀ 1st Chinese manufacturer ( onka) launched in
September, First launch with 1080A Several Chinese manufacturers soon to follow
•ꢀ Finger sensor high-lighted as key selling point by OEMs •ꢀ FPC selected in several plaBorm reference designs •ꢀ Repeat Customers is proof of Market Success
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ConfidenKalꢀ
3ꢀ
Mobileꢀ
•ꢀ Happy and saKsfied customers give fast follow-up projects •ꢀ Fujitsu announced another 7 products with
FPC technology, launching from October
⁻ꢀ Phone with So_bank ⁻ꢀ Phone with Au/ DDI ⁻ꢀ Tablet with DDI ⁻ꢀ 3 phones with DoCoMo ⁻ꢀ Tablet with DoCoMo
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•ꢀ AddiKonal OEM projects ongoing with several different target operators (US, orea and other)
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ConfidenKalꢀ
4ꢀ
Driver: Consumer/End User Demand
Your Body is the New Password
•ꢀ Ericsson ConsumerLab has idenKfied some of the most important consumer trends for 2014 and
ꢀ
STOC HOLM, Dec 11 (Reuters) - Biometric smartphones are expected to become mainstream next year as leading handset makers follow the lead of Apple Inc. into fingerprint recogniKon technology,
- beyond
- ꢀ
an Ericsson report on consumer trends showed on Wednesday.
•ꢀ 74 percent believe that biometric smartphones will become mainstream during 2014
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•ꢀ 61 percent of people want to use
- fingerprints to unlock their phone
- ꢀ
•ꢀ 52 percent of smartphone users want to use their fingerprints instead
- of passwords
- ꢀ
•ꢀ Half of consumers even want to use their fingerprints to authorize their credit card payments online
2014-02-01ꢀ
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ConfidenKalꢀ
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- Driver: Cost Savings
- ꢀ
ANNUAL COST OF MANUAL PASSWORD MANAGEMENT
- Number of end users:
- 45,000
Help Desk calls per user, Per year:
Based on META Group’s average of
- 1.75 calls per user, per month
- x
- 21
- Help Desk calls per year:
- =
- 945,000
Percentage of password resets:
Gartner Group studies report that password resets make up to 35% of total call volume
- x
- 35%
Password calls per year:
Helpdesk cost per call:
- =
- 330,750
Gartner Group studies report a
- cost of up to $31/call
- x
- $31
Current password costs Per year:
- = $ 10,253,250
- Savings in Year 1
Note: This calculation is based on the method used in the US DoS Blade project. To estimate the above password management savings that would be realized
2014-02-01ꢀ
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ConfidenKalꢀ
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Driver: Real Life Securityꢀ
•ꢀ NIST SP 800-32 SecKon 2.2.4 in its enKrety
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•ꢀ … “Biometric authenKcaKon relies on a unique physical characterisKc to verify the •ꢀ idenKty of system users. Common biometric idenKfiers include fingerprints, wriken •ꢀ signatures, voice pakerns, typing pakerns, reKnal scans, and hand geometry. The unique •ꢀ pakern that idenKfies a user is formed during an enrollment process, producing a template •ꢀ for that user. When a user wishes to authenKcate to the system, a physical measurement •ꢀ is made to obtain a current biometric pakern for the user. This pakern can then be •ꢀ compared against the enrollment template in order to verify the user’s idenKty. Biometric •ꢀ authenKcaKon devices tend to cost more than password or token-based systems, because •ꢀ the hardware required to capture and analyze biometric pakerns is more complicated.
•ꢀ However, biometrics provide a very high level of security because the authen6ca6on is •ꢀ directly related to a unique physical characteris6c of the user which is more difficult to
•ꢀ counterfeit. Recent technological advances have also helped to reduce the cost of •ꢀ biometric authenKcaKon systems.”…
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2014-02-01ꢀ
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ConfidenKalꢀ
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- Driver: Real Life Security -2
- ꢀ
Study Report on Biometrics in E-Authentication
INCITS M1/07-0185rev
2014-02-01ꢀ
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ConfidenKalꢀ
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- Ease of Use
- ꢀ
•ꢀ A posiKve User Experience
ꢀ
–ꢀ 100% of AXA Insurance Employees converted to Fingerprint
Biometrics when given the opportunity.
•ꢀ Password Pain
ꢀ
–ꢀ Studies by Janrain, Google and others indicate that the negaKve aqtude towards passwords create akriKon among
- end users.
- ꢀ
•ꢀ At Sign-up – Can’t make the effort of invenKng a ”new” password •ꢀ At log-in – frogoken password translate to dropping the service
–ꢀ Lack of will to manage complicated passwords destroy
- entropy
- ꢀ
2014-02-01ꢀ
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ConfidenKalꢀ
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Fingerprints supports ”NFC and Secure Elements”
•ꢀ Secure user verificaKon improves usage of NFC
–ꢀ Reduces security concerns for consumers for
- buying goods using NFC
- ꢀ
–ꢀ AnK Skimming
•ꢀ Fingerprint matching so_ware algorithm ported on Infineon Secure Element*
•ꢀ Close cooperaKon with Infineon
ꢀ
–ꢀ Combining advantages of improved security using Secure
Elements and secure user verificaKon using fingerprint sensors
hNp://www.fingerprints.com/en/Press%20releases/2012/FPC%20Secure%20Elements%20NFC%20Phones%20Tablets.aspx
2014-02-01ꢀ
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ConfidenKalꢀ
10ꢀ
Example of VerificaKon Use Cases
•ꢀ Secure on-line transacKons
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–ꢀ No need to remember passwords for on-line purchasing
–ꢀ No need for PIN codes for banking transacKons
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•ꢀ Secure user verificaKon for social
- networks
- ꢀ
–ꢀ No need to remember passwords to log into social networksꢀ
•ꢀ Secure access to cloud services
ꢀ
–ꢀ We store our lives in the cloud –ꢀ Personal and sensiKve data only shared with closest family and friends
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2014-02-01ꢀ
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ConfidenKalꢀ
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Example of Enterprise use cases
•ꢀ IP telephony with idenKficaKon
–ꢀ now who’s on the call
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•ꢀ Run SAP client secure on
- your device
- ꢀ
•ꢀ Secure verificaKon of the
- other party in a call
- ꢀ
–ꢀ Improved customer care –ꢀ “ now who you’re talking to”
2014-02-01ꢀ
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ConfidenKalꢀ
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Fingerprint VerificaKon Enables “One Swipe to Pay”
1 payment screen opKon instead of 2-4 used for many mobile checkout implementaKons
Purchaseꢀ
- Download
- ꢀ
Confirm
2014-02-01ꢀ
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ConfidenKalꢀ
13ꢀ
StandardizaKon Effortsꢀ
Cloud/Web
•ꢀ FIDO (Fast IDenKty Online) defines an open industry web-based standard for secure on-
- line idenKficaKon
- ꢀ
•ꢀ FuncKonal Demos developed based on
current version of spec and actual member services and products in the market
•ꢀ Global PlaBorm is defining secure standard verifiable device environments (phone, smartcard, SIM card etc.) for secure
- transacKons
- ꢀ
•ꢀ FPC selected as editor and driver of
fingerprint sensor standardizaKon in Global PlaBorm
2014-02-01ꢀ
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ConfidenKalꢀ
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Selected FIDO Members
Service
Providers
OEM
Component
Suppliers
1 februari 2014ꢀ
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ConfidenKalꢀ
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Selected Global PlaBorm Members
Service
OEM
Providers
Component
Suppliers
1 februari 2014ꢀ
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ConfidenKalꢀ
16ꢀ
GP helps apps ecosystem use fingerprint sensors
•ꢀ Global PlaBorm standards will allow
Smartphone and tablet apps developers to bring ”secure apps” that can use fingerprint sensors for secure user verificaKonꢀ
•ꢀ Standardized APIs will be available for apps to request user verificaKon with
- fingerprint sensor
- ꢀ
•ꢀ This allows for banks, credit cards, social networks, cloud services etc. to replace today’s use of username/pw with
- fingerprint sensor
- ꢀ
•ꢀ Fingerprint sensor funcKonality executed in Trusted ExecuKon Environment (TEE) for increased securityꢀ
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ConfidenKalꢀ
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Thank you for your aꢁenKon!
For further informaKon please contact: sales@fingerprints.com
BEYOND KEYS
AND PINS
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