Gesture-initiated encryption using error correction coding

• US 9,231,924 B2
• Filed: 02/20/2014
• Issued: 01/05/2016
• Est. Priority Date: 03/11/2013
• Status: Active Grant

• Current Assignee: Lockheed Martin Corporation (Martin Marietta Corporation)
• Original Assignee: Lockheed Martin Corporation (Martin Marietta Corporation)
• Inventors: Cockrum, Chris K., Hrybyk, Alexander Gregory
• Primary Examiner(s): Avery, Jeremiah
• Application Number:
  US14/185,018
• Publication Number:
  US 20140258706A1
• Time in Patent Office: 684 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 21/31 User authentication
• CPC Class Codes: H04L 2209/34 Encoding or coding, e.g. Huffman coding or error correction
• CPC Class Codes: H04L 63/0428 wherein the data content is protected, e.g. by encrypting or encapsulating the payload
• CPC Class Codes: H04L 9/0866 involving user or device identifiers, e.g. serial number, physical or biometrical information, DNA, hand-signature or measurable physical characteristics
• 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

Abstract

Methods and systems for providing gesture-based security are disclosed. For example, a method for establishing secure communications can include receiving one or more human gestures using a sensor on a first device, quantizing the one or more human gestures so as to create a metric of the one or more human gestures, performing an error correction operation on the metric using error correction information derived from a template of the metric to create a corrected metric, performing a hashing operation on the corrected metric to create a metric hash, and comparing the metric hash to a hash of the template to verify that the one or more human gestures sufficiently conform to the template.

Claims

1. A method for establishing secure communications, comprising:

receiving one or more human gestures using a sensor on a first device;

quantizing the one or more human gestures received from the sensor so as to create a metric of the one or more human gestures by quantizing circuitry;

performing, by error correction circuitry, an error correction operation on the metric received from the quantizing circuitry using error correction information derived from a template of the metric to create a corrected metric, wherein the metric includes angular information between discrete locations of the one or more human gestures so as to make the one or more human gestures size invariant;

creating a password based on the corrected metric to establish the secure

communications; and

communicating an error-coded metric to a second device.

2. The method of claim 1, further comprising:

performing a hashing operation on the corrected metric to create a metric hash.

3. The method of claim 2, further comprising:

comparing the metric hash to a hash of the template to verify that the one or more human gestures conform to the template.

4. The method of claim 2, further comprising:

using the metric hash as an encryption key.

5. The method of claim 3, further comprising:

encoding the metric using the error correction information to create the error-coded metric prior to the communicating;

wherein

the error correction operation, the hashing operation and the comparing operation are performed on the second device.

6. The method of claim 1, wherein the one or more human gestures are measured by a touch screen incorporated into the first device.

7. The method of claim 1, further comprising:

deriving the template using a plurality of gesture entries such that the template is a statistical amalgam of the plurality of gesture entries.

8. A method for creating a password, comprising:

receiving a set of one or more human gestures using a sensor on a first device a plurality of times to create a plurality of entries, wherein for each entry the one or more human gestures conform with one another;

quantizing each entry received from the first device to create a plurality of metric entries by quantizing circuitry;

deriving, by template circuitry, a template using the plurality of metric entries received from the quantizing circuitry such that the template is a statistical amalgam of the plurality of metric entries, wherein each metric entry includes angular information between discrete gesture locations so as to make the one or more human gestures size invariant; and

creating the password based on the template to establish secure communications with a second device.

9. The method of claim 8, further comprising:

error-coding the template to derive error-correction information that, when applied to each of the plurality of metric entries, the error-correction information will cause each of the metric entries to transform into the template.

10. The method of claim 8, further comprising:

before creating the template, determining whether the one or more human gestures are acceptable as a hand-drawn password.

11. The method of claim 10, further comprising:

before creating the template, performing a training routine so as to determining whether the one or more human gestures can be drawn consistently by a user.

12. The method of claim 8, wherein the template includes mean angles of the plurality of metric entries.

13. A device for establishing secure communications, comprising:

quantizing circuitry configured to quantize one or more human gestures so as to create a metric of the one or more human gestures;

error correction circuitry configured to perform an error correction operation on the metric received from the quantizing circuitry using error correction information derived from a template of the metric to create a corrected metric, wherein the metric includes angular information between discrete locations of the one or more human gestures so as to make the one or more human gestures size invariant;

creating a password based on the corrected metric to establish secure communications; and

sending an error-coded metric to a second device.

14. The circuit of claim 13, further comprising:

hashing circuitry configured to perform a hashing operation on the corrected metric to create a metric hash.

15. The circuit of claim 14, further comprising:

verification circuitry configured to compare the metric hash to a hash of the template to verify that the one or more human gestures conform to the template.

16. The circuit of claim 13, further comprising:

encoding circuitry configured to encode the metric using the template error correction information to create the error-coded metric prior to the sending.

17. The circuit of claim 13, further comprising a sensor, wherein the one or more human gestures are derived using the sensor.

18. The circuit of claim 13, wherein the template is a statistical amalgam of a plurality of gesture entries.

19. A device for creating a password, comprising:

a sensor capable of deriving a set of one or more human gestures a plurality of times to create a plurality of entries, wherein for each entry the one or more human gestures conform with one another;

quantizing circuitry configured to quantize each entry created by the sensor so as to create a plurality of metric entries;

template circuitry configured to derive a template using the plurality of metric entries received from the quantizing circuitry such that the template is a statistical amalgam of the plurality of metric entries, wherein each metric entry includes angular information between discrete locations of a respective set of gestures so as to make the one or more human gestures size invariant; and

creating the password based on the template to establish secure communications with a second device.

20. The device of claim 19, further comprising:

error-coding circuitry encode the template to derive error-correction information that, when applied to each of the plurality of metric entries, will enable the metric entries to create a hash that is identical to a hash of the template.

21. The device of claim 19, further comprising:

hashing circuitry to create a hash of the template.

22. The device of claim 19, further comprising:

training circuitry configured to enable a user to perform a training routine so as to determining whether the one or more human gestures can be drawn consistently by the user.

23. The device of claim 19, wherein the template includes mean angles of the plurality of metric entries.