Fingerprint Security Scanner For Android Free Download

카테고리 없음 2021. 2. 6. 13:26

Today, biometric-based unlock modalities are evaluated almost solely on thebasis of False Accept Rate (FAR), a metric that defines how often amodel mistakenly accepts a randomly chosen incorrect input. While this is auseful measure, it does not provide sufficient information to evaluate how wellthe model stands up to targeted attacks.

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Android Phone Fingerprint Scanner

Metrics

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Android 8.1 introduces two new metrics associated with biometric unlocks thatare intended to help device manufacturers evaluate their security moreaccurately:

Imposter Accept Rate (IAR): The chance that a biometric modelaccepts input that is meant to mimic a known good sample. For example, in theSmartLock trusted voice (voice unlock) mechanism, this would measure how oftensomeone trying to mimic a user's voice (using similar tone, accent, etc) canunlock their device. We call such attacks Imposter Attacks.
Spoof Accept Rate (SAR): The chance that abiometric model accepts a previously recorded, known good sample. For example,with voice unlock this would measure the chances of unlocking a user's phoneusing a recorded sample of them saying: 'Ok, Google' We call such attacksSpoof Attacks.

Of these, IAR measurements are not universally useful for all biometricmodalities. Consider fingerprint for example. An attacker could create a mold ofa user's fingerprint and attempt to use that to bypass the fingerprint sensor,which would count as a spoof attack. However, there isn't a way to mimic afingerprint that would be accepted as the user's - and so there's not a clearnotion of an imposter attack against fingerprint sensors.

SAR, however, works for every biometric modality.

Example attacks

The table below lists examples of imposter and spoof attacks for fourmodalities.

Modality	Imposter Attack	Spoof Attack
Fingerprint	N/A	Fingerprint + Fingerprint mold
Face	Trying to look like the user	High-res photo, Latex (or other high quality) face masks
Voice	Trying to sound like the user	Recording
Iris	N/A	High-res photo + contact lens

Table 1. Example attacks

See Test methodology for advice and more details onmethodologies to measure SAR and IAR for different biometrics.

Strong vs. weak unlocks

The bar for an unlock to be considered strong is a combination of the threeaccept rates - FAR, IAR, and SAR. In cases where an imposter attack does notexist, we consider only the FAR and SAR.

See the Android Compatibility DefinitionDocument (CDD) for the measures to be taken for weak unlock modalities.

Test methodology

Here we explain considerations and offer advice regarding test setups to measurespoof (SAR) and imposter acceptance rates (IAR) for biometric unlock modalities.See Metrics for more information on what these metrics meanand why they're useful.

Common considerations

Android os versions for pc 32 bit download. While each modality requires a different test setup, there are a few commonaspects that apply to all of them.

Test the actual hardware

Collected SAR/IAR metrics can be inaccurate when biometric models are testedunder idealized conditions and on different hardware than it would actuallyappear on in a mobile device. For example, voice unlock models that arecalibrated in an anechoic chamber using a multi-microphone setup behave verydifferently when used on a single microphone device in a noisy environment. Inorder to capture accurate metrics, tests should be carried out on an actualdevice with the hardware installed, and failing that with the hardware as itwould appear on the device.

Use known attacks

Most biometric modalities in use today have been successfully spoofed, andpublic documentation of the attack methodology exists. Below we provide a briefhigh-level overview of test setups for modalities with known attacks. Werecommend using the setup outlined here wherever possible.

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Anticipate new attacks

For modalities where significant new improvements have been made, the test setupdocument may not contain a suitable setup, and no known public attack may exist.Existing modalities may also need their test setup tuned in the wake of a newlydiscovered attack. In both cases you will need to come up with a reasonable testsetup. Please use the Site Feedback link at the bottom of this page to let usknow if you have set up a reasonable mechanism that can be added.

Setups for different modalities

Fingerprint

IAR	Not needed.
SAR	Create fake fingerprints using a mold of the target fingerprint. Measurement accuracy is sensitive to the quality of the fingerprint mold.Dental silicon is a good choice. The test setup should measure how often a fake fingerprint created with themold is able to unlock the device.

Face and Iris

IAR

Lower bound will be captured by SAR so separately measuring this is notneeded.

SAR

Test with photos of the target's face. For iris, the face will need to bezoomed in to mimic the distance a user would normally use the feature.
Photos should be high resolution, otherwise results are misleading.
Photos should not be presented in a way that reveals they are images. Forexample:
- image borders should not be included
- if the photo is on a phone, the phone screen/bezels should not be visible
- if someone is holding the photo, their hands should not be seen
For straight angles, the photo should fill the sensor so nothing elseoutside can be seen.
Face and iris models are typically more permissive when the sample(face/iris/photo) is at an acute angle w.r.t to the camera (to mimic the usecase of a user holding the phone straight in front of them and pointing up attheir face). Testing at this angle will help determine if your model issusceptible to spoofing.
The test setup should measure how often an image of the face or iris is ableto unlock the device.