Data encryption/decryption using neuro and neuro-mechanical fingerprints

• US 9,577,992 B2
• Filed: 02/02/2016
• Issued: 02/21/2017
• Est. Priority Date: 02/04/2015
• Status: Active Grant

• Current Assignee: Proprious Technologies
• Original Assignee: Aerendir Mobile Incorporated
• Inventors: Zizi, Martin, Sharkey, Hugh
• Primary Examiner(s): Schwartz, Darren B
• Application Number:
  US15/013,792
• Publication Number:
  US 20160234174A1
• Time in Patent Office: 385 Days
• US Class Current: 1/1
• CPC Class Codes: H04L 63/0428 wherein the data content is protected, e.g. by encrypting or encapsulating the payload
• CPC Class Codes: H04L 63/061 for key exchange, e.g. in peer-to-peer networks cryptographic mechanisms or cryptographic arrangements for key agreement H04L9/0838
• CPC Class Codes: H04L 63/0807 using tickets, e.g. Kerberos cryptographic mechanisms or cryptographic arrangements for entity authentication using tickets or tokens H04L9/3213
• CPC Class Codes: H04L 63/0815 providing single-sign-on or federations
• 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 63/0876 based on the identity of the terminal or configuration, e.g. MAC address, hardware or software configuration or device fingerprint
• CPC Class Codes: H04L 9/06 the encryption apparatus using shift registers or memories for block-wise or stream coding, e.g. DES systems or RC4; Hash functions; Pseudorandom sequence generators
• 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

In accordance with one embodiment, a method for securing data is disclosed. The method includes sensing multi-dimensional motion of a body part of a user to generate a multi-dimensional signal; in response to the multi-dimensional signal and user calibration parameters, generating a neuro-mechanical fingerprint; and encrypting data with an encryption algorithm using the neuro-mechanical fingerprint as a key.

Claims

1. A method of securing data, the method comprising:

with at least one sensor, sensing multi-dimensional motion of a body part of a first authorized user to generate a first multi-dimensional signal;

in response to the first multi-dimensional signal and the first user calibration parameters, generating a first neuro-mechanical fingerprint;

encrypting data in a storage device with an encryption algorithm using the first neuro-mechanical fingerprint as an encryption key; and

accessing the encrypted data in the storage device that is encrypted with the first neuro-mechanical fingerprint as the encryption key including

sensing multi-dimensional motion of the body part of the first authorized user to generate a second multi-dimensional signal;

in response to the second multi-dimensional signal, regenerating the first neuro-mechanical fingerprint;

determining a match percentage in response to the first regenerated neuro-mechanical fingerprint and the first user calibration parameters; and

in response to the match percentage being greater than or equal to an access match level, decrypting data with the encryption algorithm using the first regenerated neuro-mechanical fingerprint representing the first encryption key.

2. The method of claim 1, wherein

the encrypted data is stored on a remote server;

and

the first user is remotely verified over a computer network to decrypt the encrypted data.

3. A method of securing data, the method comprising:

with at least one sensor, sensing multi-dimensional motion of a body part of a first authorized user to generate a first multi-dimensional signal;

in response to the first multi-dimensional signal and the first user calibration parameters, generating a first neuro-mechanical fingerprint;

encrypting data in a storage device with an encryption algorithm using the first neuro-mechanical fingerprint as an encryption key;

storing the first neuro-mechanical fingerprint in a secured storage device associated with the first neuro-mechanical fingerprint and one or more secondary neuro-mechanical fingerprints,

wherein the stored neuro-mechanical fingerprint is accessible from the secured storage device in response to the first neuro-mechanical fingerprint regenerated from the first authorized user, and

wherein the stored neuro-mechanical fingerprint is further accessible from the secured storage device in response to the one or more secondary neuro-mechanical fingerprints generated from one or more secondary authorized users differing from the first authorized user.

4. The method of claim 3, wherein

the first authorized user invites the one or more secondary authorized users to have access to the stored neuro-mechanical fingerprint in response to verification of the one or more secondary authorized users with their respective one or more secondary neuro-mechanical fingerprints.

5. The method of claim 3, further comprising:

accessing the encrypted data that is encrypted with the first neuro-mechanical fingerprint as the encryption key including

sensing multi-dimensional motion of a body part of one of the one or more secondary authorized users to generate a second multi-dimensional signal;

in response to second the multi-dimensional signal, regenerating a second neuro-mechanical fingerprint of the one of the one or more secondary authorized users;

determining a live match percentage in response to the second regenerated neuro-mechanical fingerprint and the second user calibration parameters associated with the one of the one or more secondary authorized users; and

in response to the live match percentage being greater than or equal to a live access match level, verifying the one of the one or more secondary authorized users to provide access of the stored neuro-mechanical fingerprint in the secured storage device.

6. The method of claim 5, wherein the accessing of the encrypted data that is encrypted with the first neuro-mechanical fingerprint as the encryption key further includes

in response to verification of the one of the one or more secondary authorized users, accessing the stored neuro-mechanical fingerprint from the secured storage device;

determining a stored match percentage in response to the stored neuro-mechanical fingerprint and the first user calibration parameters; and

in response to the stored match percentage being greater than or equal to a stored access match level, decrypting data with the encryption algorithm using the stored neuro-mechanical fingerprint representing the encryption key.

7. The method of claim 6, wherein

the stored access match level is less than or equal to the live access match level.

8. The method of claim 6, wherein

the encrypted data is stored on a remote server;

and

the one of the one or more secondary authorized users is remotely verified over a computer network to access the stored neuro-mechanical fingerprint in the secured storage device and decrypt the encrypted data.

9. The method of claim 3, wherein

the multi-dimensional motion of the body part is at least two dimensional motion and the multi-dimensional signal is at least a two dimensional signal.

10. The method of claim 3, wherein

the secured storage device is a portable secured storage device.