Device, system, and method of generating and managing behavioral biometric cookies

Patent metadata

Field	Value
Publication number	US-2017154366-A1
Application number	US-201715422479-A
Country	US
Kind code	A1
Filing date	Feb 2, 2017
Priority date	Nov 29, 2010
Publication date	Jun 1, 2017
Grant date	—

Abstract

Devices, systems, and methods of generating and managing behavioral biometric cookies. The system monitors user-interactions of a user, that are performed via an input unit of an end-user device; and extracts a set of user-specific characteristics, which are used as a behavioral profile or behavioral signature. The set of user-specific characteristics are further used as a behavioral biometric cookie data-item, allowing the system to distinguish between two human users that utilize the same electronic device; and allowing the system to distinguish between a human user and an automated script. The system further allows creation and utilization of behavioral sub-cookies that distinguish among multiple users of the same device. The system also allows creation of a cross-device behavioral cookie, to track browsing history of a single user across multiple electronic devices.

First claim

What is claimed is:

1 . A method comprising:
(A) monitoring user interactions that a user performs via an input unit of an electronic device, when the user interacts with a computerized service that utilizes communication between said electronic device and a remote server; (B) extracting from the monitored user interactions, a behavioral biometric model that characterize said user interactions; (C) storing in a remote database, that is external to said electronic device, a record indicating (i) the extracted behavioral biometric model of said user, and (ii) a unique identifier; (D) generating, and storing internally within said electronic device, a behavioral biometric cookie data-item that reflects an association between: (I) said user, and (II) said record reflecting the extracted behavioral biometric model that is stored in said remote database; (E) storing said behavioral biometric cookie data-item, internally within said electronic device.

2 . The method of claim 1 , wherein the storing of step (C) comprises storing in said remote database a behavioral biometric cookie ID number;
wherein the storing of step (E) comprises writing internally within said electronic device a client-side cookie that comprises said behavioral biometric cookie ID number.

3 . The method of claim 1 , further comprising:
(a) in a subsequent usage session of said computerized service, reading from said electronic device the behavioral biometric cookie data-item, and determining a corresponding record in said remote database that corresponds to the content of said behavioral biometric cookie data-item; (b) if fresh user interactions match the previously-extracted behavioral biometric model that is stored in said remote database for said user, then: (i) determining that a current user is same as a previous user that was previously associated with said record, and (ii) updating said record in said remote database, to reflect an updated behavioral biometric model that is based on previous user interactions and also on the fresh user interaction.

4 . The method of claim 1 , further comprising:
(a) in a subsequent usage session of said computerized service, reading from said electronic device the behavioral biometric cookie data-item, and determining a corresponding record in said remote database that corresponds to the content of said behavioral biometric cookie data-item; (b) if fresh user interactions do not match the previously-extracted behavioral biometric model that is stored in said remote database for said user, then: (i) determining that a current user is a different person relative to a previous user that was previously associated with said record, and (ii) updating said record in said remote database, to reflect that the current user that is currently utilizing said electronic device is different from a previous user that was previously associated with said record, and to further store a secondary record that reflects a freshly-extracted behavioral biometric model that corresponds to the fresh user interactions of said current user.

5 . The method of claim 1 , wherein the updating of step (b) comprises:
storing in the remote database an indication that a same identifier number of said behavioral biometric cookie data-item, corresponds to two different human users; storing in the remote database two sub-records that correspond respectively to two extracted behavioral biometric models of said two different human users, wherein both of the two sub-records are associated with said single same identifier number of said behavioral biometric cookie data-item.

6 . The method of claim 1 , further comprising:
(a) in a subsequent usage session of said computerized service, monitoring fresh user interactions of a current user, and comparing the fresh user interactions to multiple previously-stored records of previously-extracted behavioral biometric models of multiple users; (b) determining that the fresh user interactions match a particular record out of the multiple previously-stored records of previously-extracted behavioral biometric models of multiple users; (c) determining that the current user, who performed the fresh user interactions, is the same human user as the user that previously performed interactions associated with said particular record.

7 . The method of claim 1 , further comprising:
(a) in a subsequent usage session of said computerized service, monitoring fresh user interactions of a current user, and comparing the fresh user interactions to multiple previously-stored records of previously-extracted behavioral biometric models of multiple users; (b) determining that the fresh user interactions match a particular record out of the multiple previously-stored records of previously-extracted behavioral biometric models of multiple users; (c) determining that the current user, who performed the fresh user interactions, is the same human user as the user that previously performed interactions associated with said particular record; (d) selecting a content item to be served to the current user, based on a usage history that comprises historic usage of the computerized service by said user associated with said particular record.

8 . The method of claim 1 , further comprising:
(a) in a subsequent usage session of said computerized service, monitoring fresh user interactions of a current user, and comparing the fresh user interactions to multiple previously-stored records of previously-extracted behavioral biometric models of multiple users that were previously associated with a same behavioral biometric cookie identifier number; (b) determining that the fresh user interactions match a particular record out of the multiple previously-stored records of previously-extracted behavioral biometric models of multiple users; (c) determining that the current user, who performed the fresh user interactions, is the same human user as the user that previously performed interactions associated with said particular record.

9 . The method of claim 1 , further comprising:
(a) in a subsequent usage session of said computerized service, monitoring fresh user interactions of a current user, and comparing the fresh user interactions to multiple previously-stored records of previously-extracted behavioral biometric models of multiple users that were previously associated with a same behavioral biometric cookie identifier number; (b) determining that the fresh user interactions match a particular record out of the multiple previously-stored records of previously-extracted behavioral biometric models of multiple users; (c) determining that the current user, who performed the fresh user interactions, is the same human user as the user that previously performed interactions associated with said particular record; (d) selecting a content item to be served to the current user, based on a usage history that comprises historic usage of the computerized service by said user associated with said particular record.

10 . The method of claim 1 , further comprising:
(a) in a subsequent usage session of said computerized service, monitoring fresh user interactions of a current user, and comparing the fresh user interactions to multiple previously-stored records of previously-extracted behavioral biometric models of multiple users; (b) based on the monitored fresh user interactions of said current user, determining whether said current user is one of two or more particular users that were previously identified based on behavioral biometric analysis of their previous user interactions and who share the same behavioral biometric cookie identifier number with the current user.

11 . The method of cl

Assignees

• Biocatch Ltd

Inventors

• Turgeman Avi

Classifications

• H04L43/0876

  Network utilisation, e.g. volume of load or congestion level · CPC title

• G06F17/30312

  Physics · mapped topic

• H04L67/22

  Electricity · mapped topic

• G06Q30/0275 Primary

  Auctions · CPC title

• G06Q30/0277

  Online advertisement · CPC title