Behavioral profiling method and system to authenticate a user

US9514293B1 · US · B1

Patent metadata
FieldValue
Publication numberUS-9514293-B1
Application numberUS-201514880595-A
CountryUS
Kind codeB1
Filing dateOct 12, 2015
Priority dateMar 20, 2012
Publication dateDec 6, 2016
Grant dateDec 6, 2016

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

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Methods and systems for behavioral profiling, and in particular, utilizing crowd-managed data architectures to store and manage that profile, are described. In some embodiments, a method includes observing behavioral characteristics of user interactions during a current session with the user through one of a plurality of channels. Variations between the behavioral characteristics of the user interactions observed during the current session and a behavioral profile previously developed based on prior usage patterns of the user through the plurality of channels are identified, in real-time or near real-time.

First claim

Opening claim text (preview).

The invention claimed is: 1. A computer-implemented method for storing computing device behavioral characteristics, the method comprising: monitoring a plurality of behavioral characteristics of user interactions with a first computing device, wherein the user interactions are over a plurality of channels and the user interactions relate to interactions between a user and the first computing device; identifying a subset of the plurality of behavioral characteristics to add to a block chain; generating encrypted behavioral characteristics via encrypting the subset of behavioral characteristics; sending a message to add the encrypted behavioral characteristics to the block chain; identifying that the encrypted behavioral characteristics have been added to the block chain, comprising: identifying a number of subsequent data records that have been added to the block chain after the subset of behavioral characteristics was added, receiving an indication of a minimum number of data records to be added to the block chain, and comparing the number of subsequent data records added to the block chain to the minimum number, wherein the user interactions are over a plurality of channels; identifying variations between the plurality of behavioral characteristics of the user interactions and a behavior profile previously developed based on prior usage patterns of the user, wherein the variations are also with respect to a comparison of the plurality of behavioral characteristics of the user interactions and demographic data relating to website behaviors specific to a generation of the user; sending a decryption key to a company; receiving a notification that the company has utilized the decryption key to authenticate the user; and implementing, based on the variations, a challenge level for the user to be authenticated. 2. The method of claim 1 , the method further comprising receiving an indication that a second computing device will store at least part of the data records. 3. The method of claim 2 , the method further comprising receiving an indication that, as a result of the second computing device storing at least part of the data records, an individual associated with the second computing device will receive a reward. 4. The method of claim 3 , the method further comprising identifying a percentage of the data records that are stored on the second computing device. 5. The method of claim 4 , wherein the individual associated with the second computing device only receives the reward when the percentage of the data records that are stored on the second computing device is less than a threshold percentage. 6. The method of claim 5 , wherein the threshold percentage is approximately 20%. 7. The method of claim 1 , wherein the user is prevented from authenticating when the variations are above a predetermined threshold. 8. A system, comprising: a processor; and a memory coupled with the processor, the memory comprising executable instructions that when executed by the processor cause the processor to effectuate operations comprising: monitoring a plurality of behavioral characteristics of user interactions with a first computing device, wherein the user interactions are over a plurality of channels and the user interactions relate to interactions between a user and the first computing device; identifying a subset of the plurality of behavioral characteristics to add to a block chain; generating encrypted behavioral characteristics via encrypting the subset of behavioral characteristics; sending a message to add the encrypted behavioral characteristics to the block chain; identifying that the encrypted behavioral characteristics have been added to the block chain, comprising: identifying a number of subsequent data records that have been added to the block chain after the subset of behavioral characteristics was added, receiving an indication of a minimum number of data records to be added to the block chain, and comparing the number of subsequent data records added to the block chain to the minimum number, wherein the user interactions are over a plurality of channels; identifying variations between the plurality of behavioral characteristics of the user interactions and a behavior profile previously developed based on prior usage patterns of the user, wherein the variations are also with respect to a comparison of the plurality of behavioral characteristics of the user interactions and demographic data relating to website behaviors specific to a generation of the user; sending a decryption key to a company; receiving a notification that the company has utilized the decryption key to authenticate the user; and implementing, based on the variations, a challenge level for the user to be authenticated. 9. The system of claim 8 , the instructions further comprising receiving an indication that a second computing device will store at least part of the data records. 10. The system of claim 9 , the instructions further comprising receiving an indication that, as a result of the second computing device storing at least part of the data records, an individual associated with the second computing device will receive a reward. 11. The system of claim 10 , the instructions further comprising identifying a percentage of the data records that are stored on the second computing device. 12. The system of claim 11 , wherein the individual associated with the second computing device only receives the reward when the percentage of the data records that are stored on the second computing device is less than a threshold percentage. 13. The system of claim 12 , wherein the threshold percentage is approximately 20%. 14. The system of claim 8 , wherein the user is prevented from authenticating when the variations are above a predetermined threshold.

Assignees

Inventors

Classifications

  • G06F21/316Primary

    by observing the pattern of computer usage, e.g. typical user behaviour · CPC title

  • Structures or tools for the administration of authentication · CPC title

  • Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title

  • Entity profiles · CPC title

  • Providing cryptographic facilities or services · CPC title

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What does patent US9514293B1 cover?
Methods and systems for behavioral profiling, and in particular, utilizing crowd-managed data architectures to store and manage that profile, are described. In some embodiments, a method includes observing behavioral characteristics of user interactions during a current session with the user through one of a plurality of channels. Variations between the behavioral characteristics of the user in…
Who is the assignee on this patent?
United Services Automobile Ass (Usaa), Usaa
What technology area does this patent fall under?
Primary CPC classification G06F21/316. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Dec 06 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).