Data encryption/decryption using neurological fingerprints

• US 9,853,976 B2
• Filed: 12/29/2016
• Issued: 12/26/2017
• Est. Priority Date: 02/04/2015
• Status: Active Grant

• Current Assignee: Proprius Technologies SARL
• Original Assignee: Proprius Technologies SARL
• Inventors: Zizi, Martin, Sharkey, Hugh
• Primary Examiner(s): Schwartz, Darren B
• Application Number:
  US15/393,900
• Publication Number:
  US 20170111359A1
• Time in Patent Office: 362 Days
• 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 forming a secure communication channel, the method comprising:

entering a login name and a password associated with a user at a client computer;

looking up user calibration parameters from a database of a server computer in response to the entering of the login name and the password of the user;

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

in response to the sensing of the multi-dimensional signal, generating a neuro-mechanical fingerprint that is unique to the user;

evaluating the neuro-mechanical fingerprint of the user based on the user calibration parameters to determine a match percentage;

in response to the match percentage being greater than or equal to a predetermined percentage, forming the secure communication channel between the client computer and the server computer.

2. The method of claim 1, further comprising

in response to the match percentage being greater than or equal to the predetermined percentage, encrypting data communicated between the client computer and the server computer based on the neuro-mechanical fingerprint.

3. The method of claim 2, further comprising

storing the encrypted data in a storage device associated with the server computer based on the neuro-mechanical fingerprint.

4. The method of claim 3, further comprising

decrypting the encrypted data in the storage device associated with the server computer based on the neuro-mechanical fingerprint.

5. The method of claim 1, wherein the evaluating of the neuro-mechanical fingerprint of the user includes

comparing the match percentage to the predetermined percentage to determine if the match percentage is greater than or equal to the predetermined percentage to verify the user is associated with the login name and the password.

6. The method of claim 1, wherein encrypting data communication includes

encrypting data to be sent from the client computer based on the neuro-mechanical fingerprint and decrypting data received at the client computer based on the neuro-mechanical fingerprint;

and

encrypting data to be sent from the server computer based on the neuro-mechanical fingerprint and decrypting data received at the server computer based on the neuro-mechanical fingerprint.

7. The method of claim 1, further comprising

browsing to a web site in a browser with the client computer to view a login web page generated by the server computer.

8. The method of claim 1, wherein

the server computer is associated with a bank and the login name and password are associated with a bank account;

and

the client computer is remotely located away from the server computer and the user desires to form the secure communication channel to perform one or more banking transactions with the bank account.

9. The method of claim 1, wherein

the server computer is associated with a school and the login name and password are associated with a student account;

and

the client computer is remotely located away from the server computer and the user validation assures the proper student is present taking an examination of course materials associated with a class of a school.

10. The method of claim 1, wherein

the server computer is associated with a hospital or doctors office and the login name and password are associated with a patient account;

and

the client computer is remotely located away from the server computer and the user validation assures the proper patient has access to his/her records at the hospital or doctors office.