Authentication system and method thereof

• US 9,916,430 B1
• Filed: 09/07/2016
• Issued: 03/13/2018
• Est. Priority Date: 12/08/2011
• Status: Active Grant

• Current Assignee: Navroop Pal Singh Mitter
• Original Assignee: Navroop Pal Singh Mitter
• Inventors: Mitter, Navroop Pal Singh
• Primary Examiner(s): Zimmerman, Brian
• Assistant Examiner(s): Eustaquio, Cal
• Application Number:
  US15/258,526
• Time in Patent Office: 552 Days
• CPC Class Codes: G05B 1/00 Comparing elements, i.e. elements for effecting comparison directly or indirectly between a desired value and existing or anticipated values
• CPC Class Codes: G06F 21/316 by observing the pattern of computer usage, e.g. typical user behaviour
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints

Abstract

A haptic-based identification, authentication, authorization, and context aware authorization system usable with a touch-enabled device having a touch screen haptic interface, touch-enabled device receiving a plurality of inputs during interaction with a user which includes a storage space to store a first plurality of inputs corresponding to an authenticated user and a central processing unit (CPU) in communication with the storage space and the touch-enabled device to compare the first plurality of inputs with a second plurality of inputs inputted by the user, wherein the CPU authenticates the user to the touch-enabled device when the inputted second plurality of inputs is determined to be similar to the first plurality of inputs.

Claims

1. A method of authenticating a user, the method comprising:

receiving a first data corresponding to a manner in which the user uses a device;

comparing a second data inputted on the first device by the user with the first data; and

continuously monitoring the user to determine whether the second data is similar to the first data,

wherein the first and second data corresponds to data received from sensors within the device, and

wherein the first data corresponds to the user'"'"'s unique behavioral traits and is a combination of rhythm/cadence data of finger press, accelerometer, and contact area data.

2. The method of claim 1, wherein the sensors include biometric sensors and non-biometric sensors.

3. The method of claim 2, wherein the user is authenticated when a distance score and a match score between the first and second data indicates a high probability that the second data is from the same user inputting the first data.

4. The method of claim 3, further comprising alerting a third party when an authenticated user is determined to be under duress based on data received from the sensors within the device.

5. The method of claim 4, wherein the duress is determined based on data received from the accelerometer.

6. The method of claim 5, further comprising triggering the non-biometric sensors to capture data when duress is determined.

7. The method of claim 6, wherein the non-biometric sensors include light sensors, cameras, and audio/video recording interfaces disposed within the device.

8. The method of claim 7, further comprising sending the captured data from the non-biometric sensors to a third party.

9. The method of claim 3, further comprising alerting a third party when an unauthorized user attempts to access the device based on data received from the sensors.