User as a password
A security platform architecture is described herein. A user identity platform architecture which uses a multitude of biometric analytics to create an identity token unique to an individual human. This token is derived on biometric factors like human behaviors, motion analytics, human physical characteristics like facial patterns, voice recognition prints, usage of device patterns, user location actions and other human behaviors which can derive a token or be used as a dynamic password identifying the unique individual with high calculated confidence. Because of the dynamic nature and the many different factors, this method is extremely difficult to spoof or hack by malicious actors or malware software.
1. A method programmed in a non-transitory memory of a device comprising:
performing trust score analytics based on human characteristics to generate an aggregated trust score, wherein the human characteristics comprise microtremors in a hand of a user of the device detected using a sensor of the device;
generating a private token and a public token based on the aggregated trust score; and
using the public token to gain access to an online service.
2. The method of claim 1 wherein performing the trust score analytics include utilizing a sensor on the device to determine the user of the device.
3. The method of claim 1 wherein performing the trust score analytics include analyzing base information, pre-transaction information, external/environmental information, device information, hijack information, and/or challenge information.
4. The method of claim 1 wherein the human characteristics include at least one of: physical attributes, gait, face, ear, voice, behavior, vein patterns, heart beat, or device usage.
5. The method of claim 1 further comprising providing a challenge when the aggregated trust score is below a threshold.
6. The method of claim 1 wherein when the aggregated trust score is below a threshold, then access is denied to the online service.
7. The method of claim 1 wherein when the aggregated trust score is equal to or above a threshold, the private token and the public token are generated.
8. The method of claim 1 wherein the aggregated trust score continuously changes as the trust score analytics are continuously performed.
9. The method of claim 1 wherein the private token and the public token each comprise a Non-Fungible Token (NFT).
10. A device comprising:
a non-transitory memory for storing an application, the application configured for:
performing trust score analytics based on human characteristics to generate an aggregated trust score, wherein the human characteristics comprise microtremors in a hand of a user of the device detected using a sensor of the device;
generating a private token and a public token based on the aggregated trust score; and
using the public token to gain access to an online service; and
a processor configured for processing the application.
11. The device of claim 10 wherein performing the trust score analytics include utilizing a sensor on the device to determine the user of the device.
12. The device of claim 10 wherein performing the trust score analytics include analyzing base information, pre-transaction information, external/environmental information, device information, hijack information, and/or challenge information.
13. The device of claim 10 wherein the human characteristics include at least one of: physical attributes, gait, face, ear, voice, behavior, vein patterns, heart beat, or device usage.
14. The device of claim 10 the application is further configured for: providing a challenge when the aggregated trust score is below a threshold.
15. The device of claim 10 wherein when the aggregated trust score is below a threshold, then access is denied to the online service.
16. The device of claim 10 wherein when the aggregated trust score is equal to or above a threshold, the private token and the public token are generated.
17. The device of claim 10 wherein the aggregated trust score continuously changes as the trust score analytics are continuously performed.
18. The device of claim 10 wherein the private token and the public token each comprise a Non-Fungible Token (NFT).
19. A server device comprising:
a non-transitory memory for storing an application, the application configured for:
receiving information based on an aggregated trust score, wherein the information is related to human characteristics, wherein the human characteristics comprise microtremors in a hand of a user of the user device detected using a sensor of the user device;
generating a private token and a public token based on the aggregated trust score; and
using the public token to provide access to an online service; and
a processor configured for processing the application.
20. The server device of claim 19 wherein the aggregated trust score is based on a sensor on a user device to determine the user of the user device.
21. The server device of claim 19 wherein the aggregated trust score is based on analyzing base information, pre-transaction information, external/environmental information, device information, hijack information, and/or challenge information.
22. The sever device of claim 19 wherein the human characteristics include at least one of: physical attributes, gait, face, ear, voice, behavior, vein patterns, heart beat, or device usage.
23. The server device of claim 19 wherein when the aggregated trust score is below a threshold, then access is denied to the online service.
24. The server device of claim 19 wherein when the aggregated trust score is equal to or above a threshold, the private token and the public token are generated.
25. The server device of claim 19 wherein the aggregated trust score continuously changes as trust score analytics are continuously performed.
26. The server device of claim 19 wherein the private token and public token each comprise a Non-Fungible Token (NFT).
27. The method of claim 1 wherein the sensor comprises an accelerometer.
28. The device of claim 10 wherein the sensor comprises an accelerometer.
29. The server device of claim 19 wherein the sensor comprises an accelerometer.