System and method for eye tracking during authentication

• US 10,282,533 B2
• Filed: 02/20/2018
• Issued: 05/07/2019
• Est. Priority Date: 03/22/2013
• Status: Active Grant

• Current Assignee: Nok Nok Labs Incorporated
• Original Assignee: Nok Nok Labs Incorporated
• Inventors: Lindemann, Rolf
• Primary Examiner(s): Scott, Randy A
• Application Number:
  US15/900,620
• Publication Number:
  US 20180247038A1
• Time in Patent Office: 441 Days
• Field of Search: 726 2, 726 4, 726 7, 726 16, 726 19, 713186, 382115, 382117, 382118
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06F 21/577 Assessing vulnerabilities and evaluating computer system security
• CPC Class Codes: G06F 2221/2115 Third party
• CPC Class Codes: G06Q 20/204 comprising interface for record bearing medium or carrier for electronic funds transfer or payment credit
• CPC Class Codes: G06Q 20/3224 Transactions dependent on location of M-devices
• CPC Class Codes: G06Q 20/3274 using a pictured code, e.g. barcode or QR-code, being displayed on the M-device
• CPC Class Codes: G06Q 20/3278 RFID or NFC payments by means of M-devices
• CPC Class Codes: G06Q 20/4012 Verifying personal identification numbers [PIN]
• CPC Class Codes: G06Q 20/40145 Biometric identity checks
• CPC Class Codes: G06Q 20/42 Confirmation, e.g. check or permission by the legal debtor of payment
• CPC Class Codes: G06Q 20/425 using two different networks, one for transaction and one for security confirmation
• CPC Class Codes: G07F 19/20 Automatic teller machines [ATMs]
• CPC Class Codes: H04L 2209/805 Lightweight hardware, e.g. radio-frequency identification [RFID] or sensor
• CPC Class Codes: H04L 2463/102 applying security measure for e-commerce data processing systems or methods, specially adapted for e-commerce G06Q30/00
• CPC Class Codes: H04L 63/0492 by using a location-limited connection, e.g. near-field communication or limited proximity of entities
• CPC Class Codes: H04L 63/08 for authentication of entities cryptographic mechanisms or cryptographic arrangements for entity authentication H04L9/32
• CPC Class Codes: H04L 63/083 using passwords cryptographic mechanisms or cryptographic arrangements for entity authentication using a predetermined code H04L9/3226
• CPC Class Codes: H04L 63/0861 using biometrical features, e.g. fingerprint, retina-scan cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227
• CPC Class Codes: H04L 9/0819 Key transport or distribution, i.e. key establishment techniques where one party creates or otherwise obtains a secret value, and securely transfers it to the other(s) network architectures or network communication protocols for key distribution in a packet data network H04L63/062
• CPC Class Codes: H04L 9/0822 : using key encryption key
• CPC Class Codes: H04L 9/0841 : involving Diffie-Hellman or related key agreement protocols
• CPC Class Codes: H04L 9/3231 : Biological data, e.g. fingerprint, voice or retina network architectures or network communication protocols for supporting authentication of entities using biometrical features in a packet data network H04L63/0861
• CPC Class Codes: H04L 9/3247 : involving digital signatures
• CPC Class Codes: H04L 9/3297 : involving time stamps, e.g. generation of time stamps
• CPC Class Codes: H04W 12/06 : Authentication
• CPC Class Codes: H04W 12/065 : Continuous authentication

Abstract

A system, apparatus, method, and machine readable medium are described for performing eye tracking during authentication. For example, one embodiment of a method comprises: receiving a request to authenticate a user; presenting one or more screen layouts to the user; capturing a sequence of images which include the user'"'"'s eyes as the one or more screen layouts are displayed; and (a) performing eye movement detection across the sequence of images to identify a correlation between motion of the user'"'"'s eyes as the one or more screen layouts are presented and an expected motion of the user'"'"'s eyes as the one or more screen layouts are presented and/or (b) measuring the eye'"'"'s pupil size to identify a correlation between the effective light intensity of the screen and its effect on the user'"'"'s eye pupil size.

Claims

1. A method comprising:

receiving a request to authenticate a user, the request generated responsive to a transaction initiated by the user;

selecting an eye tracking template based on the user and/or the transaction;

capturing a sequence of images of the user'"'"'s face while displaying content to the user, the content generated according to the eye tracking template;

performing facial recognition on the user'"'"'s face;

generating a facial assurance level based on a correlation between the captured sequence of images and facial template data associated with the user;

performing eye tracking analysis using the captured sequence of images;

generating an eye tracking assurance level based on a correlation between motion of the user'"'"'s eyes and an expected motion of the user'"'"'s eyes;

allowing the transaction to proceed when a combined result of the facial assurance level and the eye tracking assurance level is sufficient to allow the transaction to proceed; and

disallowing the transaction and/or performing additional authentication techniques to raise the level of assurance when the combined result is not sufficient to allow the transaction to proceed.

2. The method of claim 1, wherein the eye tracking template specifies a type of content, a location of content, and a timing for displaying content.

3. The method of claim 1, wherein the eye tracking template specifies a type of eye-tracking and an eye tracking module determines how, where and when to display the content.

4. The method of claim 1, wherein the eye tracking analysis is performed only if facial assurance level is above a specified threshold.

5. The method of claim 1, wherein additional authentication techniques comprise the user swiping a finger on a fingerprint sensor and/or entering a personal identification number (PIN) associated with the user'"'"'s account.

6. The method of claim 1, wherein displaying content to the user comprises displaying one or more graphics images, photographs, or motion video images in designated regions of a display.

7. The method of claim 1, wherein the transaction is an online transaction with between the user and a remote relying party.

8. The method as in claim 1, wherein the expected motion of the user'"'"'s eyes is based on learned characteristics of eye-movement triggered by different types of images.

9. An apparatus comprising:

an authentication engine to receive a request to authenticate a user, wherein the request is generated responsive to a transaction initiated by the user and the authentication engine is further to select an eye tracking template based on the user and/or the transaction;

a camera to capture a sequence of images of the user'"'"'s face while content displayed to the user, the content generated according to the eye tracking template;

a facial recognition device to perform facial recognition on the user'"'"'s face;

an eye tracking hardware module to performing eye tracking analysis using the captured sequence of images;

wherein the authentication engine is further to;

generate a facial assurance level based on a correlation between the captured sequence of images and facial template data associated with the user;

generate an eye tracking assurance level based on a correlation between motion of the user'"'"'s eyes and an expected motion of the user'"'"'s eyes;

allow the transaction to proceed when a combined result of the facial assurance level and the eye tracking assurance level is sufficient to allow the transaction to proceed; and

disallow the transaction and/or perform additional authentication techniques to raise the level of assurance when the combined result is not sufficient to allow the transaction to proceed.

10. The apparatus of claim 9, wherein the eye tracking template specifies a type of content, a location of content, and a timing for displaying content.

11. The apparatus of claim 9, wherein the eye tracking template specifies a type of eye-tracking and an eye tracking module determines how, where and when to display the content.

12. The apparatus of claim 9, wherein the eye tracking analysis is performed only if facial assurance level is above a specified threshold.

13. The apparatus of claim 9, wherein additional authentication techniques comprise the user swiping a finger on a fingerprint sensor and/or entering a personal identification number (PIN) associated with the user'"'"'s account.

14. The apparatus of claim 9, wherein displaying content to the user comprises displaying one or more graphics images, photographs, or motion video images in designated regions of the display.

15. The apparatus of claim 9, wherein the transaction is an online transaction with between the user and a remote relying party.

16. The apparatus of claim 9, wherein the expected motion of the user'"'"'s eyes is based on learned characteristics of eye-movement triggered by different types of images.