IP Library › Granted Patent US 12,591,709
Granted Patent B2
US 12,591,709 · App. 17/937,997 · Granted Mar 31, 2026

Systems and methods for functionally separating geospatial information for lawful and trustworthy analytics, artificial intelligence and machine learning

Inventors: Malcolm Gary LaFever (Lyons, CO); Ted N. Myerson (New York, NY); Mark Little (Matthews, NC); Steven Mason (Las Vegas, NV); Samantha LaFever (Greeley, CO); Howard Kaushansky (Kaushansky, CO)
Assignee: Anonos Innovations LLC
G06F21/6254H04L63/0407G06F2221/2115H04L63/068
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Quick Facts
Patent No.
US 12,591,709
App. No.
17/937,997
Filed
Oct 4, 2022
Granted
Mar 31, 2026
Kind
B2
Art Unit
2438
USPC
726/27
Abstract

Various systems, computer-readable media, and computer-implemented methods of providing improved data privacy, anonymity and security by enabling subjects to which data pertains to remain “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent that is desired—are disclosed herein. Embodiments include systems that create, access, use, store and/or erase data with increased privacy, anonymity, and security—thereby facilitating the availability of more qualified and accurate information. When personal data is authorized by data subjects to be shared with third parties, embodiments described herein may facilitate the sharing of information in a dynamically-controlled manner that also enables the delivery of temporally-, geographically-, and/or purpose-limited information to the receiving party. In one example, the disclosed techniques may be used to functionally separate geospatial information, such that it remains “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent or degree that is desired.

Claims (103)

1 . A system, comprising:

a communication interface for sending data;

one or more memory elements having, stored therein, computer program code; and

one or more processing units operatively coupled to the one or more memory elements and configured to execute instructions in the computer program code that cause the one or more processing units to:

generate or receive two or more dynamically-changing, temporally unique identifiers;

receive a first request from a first client for one or more dynamically-changing, temporally unique identifiers related to a first data subject;

associate, in response to the first request, a first dynamically-changing, temporally unique identifier of the two or more dynamically-changing, temporally unique identifiers with the first data subject;

generate first time period data, wherein the first time period data comprises information defining a first time period during which the first dynamically-changing, temporally unique identifier associated with the first data subject is used to identify the first data subject;

associate one or more data attributes with the first dynamically-changing, temporally unique identifier;

store, in at least one of the one or more memory elements, the first dynamically-changing, temporally unique identifier, the one or more attributes associated with the first dynamically-changing, temporally unique identifier, and the first time period data; and

send the first dynamically-changing, temporally unique identifier to the first client;

associate a second dynamically-changing, temporally unique identifier of the two or more dynamically-changing, temporally unique identifiers with the first data subject;

generate second time period data, wherein the second time period data comprises information defining a second time period during which the second dynamically-changing, temporally unique identifier is used to identify the first data subject, wherein the second time period is different from the first time period, and wherein the second dynamically-changing, temporally unique identifier is different from the first dynamically-changing, temporally unique identifier;

associate one or more data attributes with the second dynamically-changing temporally unique identifier, wherein at least one of the one or more data attributes associated with the first dynamically-changing temporally unique identifier is different from at least one of the one or more data attributes associated with the second dynamically-changing temporally unique identifier;

store, in at least one of the one or more memory elements, the second dynamically-changing, temporally unique identifier, the one or more attributes associated with the second dynamically-changing temporally unique identifier, and the second time period data; and

send the second dynamically-changing, temporally unique identifier to the first client.

2 . The system of claim 1 , wherein at least one of the one or more data attributes associated with the first dynamically-changing, temporally unique identifier relates to an action, activity, process, purpose, identity, geospatial location, or other trait of the first data subject.

3 . The system of claim 2 , wherein the instructions in the computer program code further cause the one or more processing units to:

receive a second request from a second client for at least one of the one or more data attributes associated with the first dynamically-changing, temporally unique identifier during the first time period;

determine that the second request is authorized; and

grant the ability of the second client to determine the requested one or more data attributes associated with the first dynamically-changing, temporally unique identifier during the first time period.

4 . The system of claim 1 , wherein the instructions in the computer program code further cause the one or more processing units to:

associate the first dynamically-changing, temporally unique identifier of the two or more dynamically-changing, temporally unique identifiers with a second data subject during the first time period or during the second time period.

5 . The system of claim 1 , wherein at least one of the one or more data attributes associated with the second dynamically-changing temporally unique identifier relates to an action, activity, process, purpose, identity, geospatial location, or other trait of the first data subject.

6 . The system of claim 2 , wherein the instructions in the computer program code further cause the one or more processing units to:

associate the first dynamically-changing temporally unique identifier with a second data subject during a third time period,

wherein at least one of the one or more data attributes associated with the first dynamically-changing temporally unique identifier during the first time period is the same as one of the one or more data attributes associated with the first dynamically-changing temporally unique identifier during the third time period.

7 . The system of claim 1 , wherein the instructions in the computer program code further cause the one or more processing units to:

receive from a second client, a third dynamically-changing temporally unique identifier related to a second data subject;

associate the third dynamically-changing temporally unique identifier with the second data subject;

generate third time period data, wherein the third time period data comprises information defining a third time period during which the third dynamically-changing temporally unique identifier is used to identify the second data subject; and

store, in at least one of the one or more memory elements, the third dynamically-changing temporally unique identifier and the third time period data.

8 . The system of claim 1 , wherein:

at least one of the one or more data attributes associated with the first dynamically-changing, temporally unique identifier comprises a first attribute related to a first geospatial location of the first data subject, and

the first attribute comprises at least one of the following:

(a) a rounded version of actual latitude or longitude coordinates of the first data subject;

(b) a reduced-precision version of date-time stamps associated with an actual geospatial location of the first data subject at a particular date or time; or

(c) a generalized location name of the actual geospatial location of the first data subject at the particular date or time.

9 . A non-transitory computer readable medium comprising computer executable instructions stored thereon to cause one or more processing units to:

generate or receive two or more dynamically-changing, temporally unique identifiers;

receive a first request from a first client for one or more dynamically-changing temporally unique identifiers related to a first data subject;

associate, in response to the first request, a first dynamically-changing, temporally unique identifier of the two or more dynamically-changing temporally unique identifiers with the first data subject;

generate first time period data, wherein the first time period data comprises information defining a first time period during which the first dynamically-changing temporally unique identifier associated with the first data subject is used to identify the first data subject;

associate one or more data attributes with the first dynamically-changing, temporally unique identifier;

store, in one or more memory elements, the first dynamically-changing temporally unique identifier, the one or more attributes associated with the first dynamically-changing, temporally unique identifier, and the first time period data;

send the first dynamically-changing temporally unique identifier to the first client;

associate a second dynamically-changing, temporally unique identifier of the two or more dynamically-changing, temporally unique identifiers with the first data subject;

generate second time period data, wherein the second time period data comprises information defining a second time period during which the second dynamically-changing, temporally unique identifier is used to identify the first data subject, wherein the second time period is different from the first time period, and wherein the second dynamically-changing, temporally unique identifier is different from the first dynamically-changing, temporally unique identifier;

associate one or more data attributes with the second dynamically-changing temporally unique identifier, wherein at least one of the one or more data attributes associated with the first dynamically-changing temporally unique identifier is different from at least one of the one or more data attributes associated with the second dynamically-changing temporally unique identifier;

store, in at least one of the one or more memory elements, the second dynamically-changing, temporally unique identifier, the one or more attributes associated with the second dynamically-changing temporally unique identifier, and the second time period data; and

send the second dynamically-changing, temporally unique identifier to the first client.

10 . The non-transitory computer readable medium of claim 9 , wherein at least one of the one or more data attributes associated with the first dynamically-changing temporally unique identifier relates to an action, activity, process, purpose, identity, geospatial location, or other trait of the first data subject.

11 . The non-transitory computer readable medium of claim 10 , wherein the instructions further cause the one or more processing units to:

receive a second request from a second client for at least one of the one or more data attributes associated with the first dynamically-changing temporally unique identifier during the first time period;

determine that the second request is authorized; and

grant the ability of the second client to determine the requested one or more data attributes associated with the first dynamically-changing temporally unique identifier during the first time period.

12 . The non-transitory computer readable medium of claim 9 , wherein the instructions further cause the one or more processing units to:

associate the first dynamically-changing temporally unique identifier of two or more dynamically-changing temporally unique identifiers with a second data subject during the second time period.

13 . The non-transitory computer readable medium of claim 9 , wherein the instructions further cause the one or more processing units to:

associate the first dynamically-changing temporally unique identifier of the two or more dynamically-changing temporally unique identifiers with a second data subject during the first time period.

14 . The non-transitory computer readable medium of claim 9 , wherein the first time period and the second time period do not overlap.

15 . The non-transitory computer readable medium of claim 9 , wherein the first time period and the second time period at least partially overlap.

16 . The non-transitory computer readable medium of claim 9 , wherein at least one of the one or more data attributes associated with the second dynamically-changing temporally unique identifier relates to an action, activity, process, purpose, identity, geospatial location, or other trait of the first data subject.

17 . The non-transitory computer readable medium of claim 10 , wherein the instructions further cause the one or more processing units to:

associate the first dynamically-changing temporally unique identifier with a second data subject during a third time period,

wherein at least one of the one or more data attributes associated with the first dynamically-changing temporally unique identifier during the first time period is the same as one of the one or more data attributes associated with the first dynamically-changing temporally unique identifier during the third time period.

18 . The non-transitory computer readable medium of claim 9 , wherein the instructions further cause the one or more processing units to:

receive from a second client, a third dynamically-changing temporally unique identifier related to a second data subject;

associate the third dynamically-changing temporally unique identifier with the second data subject;

generate third time period data, wherein the third time period data comprises information defining a third time period during which the third dynamically-changing temporally unique identifier is used to identify the second data subject; and

store, in at least one of the one or more memory elements, the third dynamically-changing temporally unique identifier and the third time period data.

19 . The non-transitory computer readable medium of claim 18 , wherein the third dynamically-changing temporally unique identifier comprises a Hypertext Transfer Protocol (HTTP) cookie.

20 . The non-transitory computer readable medium of claim 9 , wherein the instructions further cause the one or more processing units to:

receive a second request from a second client for an identity of the first data subject associated with a first dynamically-changing temporally unique identifier of the one or more dynamically-changing temporally unique identifiers during the first time period;

determine that the second request is authorized; and

grant the ability of the second client to determine the identity of the first data subject during the first time period.

21 . The non-transitory computer readable medium of claim 20 , wherein the instructions further cause the one or more processing units to:

revoke the ability of the second client to determine the identity of the first data subject during the first time period.

22 . The non-transitory computer readable medium of claim 9 , wherein:

at least one of the one or more data attributes associated with the first dynamically-changing, temporally unique identifier comprises a first attribute related to a first geospatial location of the first data subject, and

the first attribute comprises at least one of the following:

(a) a rounded version of actual latitude or longitude coordinates of the first data subject;

(b) a reduced-precision version of date-time stamps associated with an actual geospatial location of the first data subject at a particular date or time; or

(c) a generalized location name of the actual geospatial location of the first data subject at the particular date or time.

23 . A method, comprising:

generating or receiving two or more dynamically-changing, temporally unique identifiers;

receiving a first request from a first client for one or more dynamically-changing temporally unique identifiers related to a first data subject;

associating, in response to the first request, a first dynamically-changing, temporally unique identifier of the two or more dynamically-changing temporally unique identifiers with the first data subject;

generating first time period data, wherein the first time period data comprises information defining a first time period during which the first dynamically-changing temporally unique identifier associated with the first data subject is used to identify the first data subject;

associating one or more data attributes with the first dynamically-changing, temporally unique identifier;

storing, in one or more memory elements, the first dynamically-changing temporally unique identifier, the one or more attributes associated with the first dynamically-changing, temporally unique identifier, and the first time period data;

sending the first dynamically-changing temporally unique identifier to the first client;

associating a second dynamically-changing, temporally unique identifier of the two or more dynamically-changing, temporally unique identifiers with the first data subject;

generating second time period data, wherein the second time period data comprises information defining a second time period during which the second dynamically-changing, temporally unique identifier is used to identify the first data subject, wherein the second time period is different from the first time period, and wherein the second dynamically-changing, temporally unique identifier is different from the first dynamically-changing, temporally unique identifier;

associating one or more data attributes with the second dynamically-changing temporally unique identifier, wherein at least one of the one or more data attributes associated with the first dynamically-changing temporally unique identifier is different from at least one of the one or more data attributes associated with the second dynamically-changing temporally unique identifier;

storing, in at least one of the one or more memory elements, the second dynamically-changing, temporally unique identifier, the one or more attributes associated with the second dynamically-changing temporally unique identifier, and the second time period data; and

sending the second dynamically-changing, temporally unique identifier to the first client.

24 . The method of claim 23 , wherein:

a first attribute related to a first geospatial location of the first data subject is associated with the first dynamically-changing, temporally unique identifier, and

the first attribute comprises at least one of the following:

(a) a rounded version of actual latitude or longitude coordinates of the first data subject;

(b) a reduced-precision version of date-time stamps associated with an actual geospatial location of the first data subject at a particular date or time; or

(c) a generalized location name of the actual geospatial location of the first data subject at the particular date or time.

Assignments (6)
RELEASE OF SECURITY INTEREST Recorded May 8, 2026
From: ANKURA TRUST COMPANY, LLC
To: ANONOS IP LLC
Reel/Frame 074607/0340 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 4, 2026
From: ANONOS TECHNOLOGIES LLC
To: ANONOS INNOVATIONS LLC
Reel/Frame 073688/0692 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 2, 2026
From: SONONA LLC
To: ANONOS TECHNOLOGIES LLC
Reel/Frame 073661/0128 →
FIRST AMENDMENT TO INTELLECTUAL PROPERTY SECURITY AGREEMENT Recorded Oct 3, 2025
From: ANONOS IP LLC
To: ANKURA TRUST COMPANY, LLC
Reel/Frame 072997/0816 →
ASSIGNMENT OF INTELLECTUAL PROPERTY Recorded Oct 3, 2025
From: ANKURA TRUST COMPANY, LLC
To: SONONA LLC
Reel/Frame 072997/0822 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 18, 2023
From: LAFEVER, MALCOLM GARY; MYERSON, TED N.; LITTLE, MARK; MASON, STEVEN; LAFEVER, SAMANTHA; KAUSHANSKY, HOWARD
To: ANONOS IP LLC
Reel/Frame 064305/0761 →
Continuity (46)
Continuation In Part 17450948 · Oct 14, 2021
Continuation In Part 17339814 · Jun 4, 2021
Continuation 16449037 · Jun 21, 2019
Continuation In Part 15963609 · Apr 26, 2018
Continuation In Part 15483997 · Apr 10, 2017
Continuation In Part 15174797 · Jun 6, 2016
Continuation In Part 14846167 · Sep 4, 2015
Continuation In Part 14530304 · Oct 31, 2014
Continuation 14529960 · Oct 31, 2014
Provisional Application 63262612 · Oct 15, 2021
Provisional Application 63262083 · Oct 4, 2021
Provisional Application 63163550 · Mar 19, 2021
Provisional Application 63125672 · Dec 15, 2020
Provisional Application 63091363 · Oct 14, 2020
Provisional Application 62800514 · Feb 3, 2019
Provisional Application 62772146 · Nov 28, 2018
Provisional Application 62688410 · Jun 22, 2018
Provisional Application 62649103 · Mar 28, 2018
Provisional Application 62644463 · Mar 17, 2018
Provisional Application 62580628 · Nov 2, 2017
Provisional Application 62554000 · Sep 4, 2017
Provisional Application 62535601 · Jul 21, 2017
Provisional Application 62491294 · Apr 28, 2017
Provisional Application 62059882 · Oct 4, 2014
Provisional Application 62055669 · Sep 26, 2014
Provisional Application 62051270 · Sep 16, 2014
Provisional Application 62045321 · Sep 3, 2014
Provisional Application 62043238 · Aug 28, 2014
Provisional Application 62037703 · Aug 15, 2014
Provisional Application 62019987 · Jul 2, 2014
Provisional Application 62015431 · Jun 21, 2014
Provisional Application 62001127 · May 21, 2014
Provisional Application 61994715 · May 16, 2014
Provisional Application 61994721 · May 16, 2014
Provisional Application 61994076 · May 15, 2014
Provisional Application 61992441 · May 13, 2014
Provisional Application 61988373 · May 5, 2014
Provisional Application 61974442 · Apr 3, 2014
Provisional Application 61969194 · Mar 23, 2014
Provisional Application 61948575 · Jun 6, 2014
Provisional Application 61945821 · Feb 27, 2014
Provisional Application 61944565 · Feb 25, 2014
Provisional Application 61941242 · Feb 18, 2014
Provisional Application 61938631 · Feb 11, 2014
Provisional Application 61899096 · Nov 1, 2013
Related Publication 20230054446A1 · Feb 23, 2023
References Cited (159)
US 6397224B1 · Zubeldia et al. · 2002 [cited by applicant]
US 7240365B2 · De et al. · 2007 [cited by applicant]
US 7430755B1 · Hughes · 2008 [cited by applicant]
US 7454356B2 · Fields · 2008 [cited by applicant]
US 7455218B2 · Shafer · 2008 [cited by applicant]
US 8112405B2 · Shiloh · 2012 [cited by applicant]
US 8306845B2 · Dmporzano · 2012 [cited by applicant]
US 8364969B2 · King · 2013 [cited by applicant]
US 8549579B2 · Dixon · 2013 [cited by applicant]
US 8843435B1 · Trefler · 2014 [cited by applicant]
US 8881019B2 · Gupta · 2014 [cited by applicant]
US 9118639B2 · Phegade · 2015 [cited by applicant]
US 9129133B2 · Lafever · 2015 [cited by applicant]
US 9202078B2 · Abuelsaad et al. · 2015 [cited by applicant]
US 9613052B2 · Leggette · 2017 [cited by applicant]
US 9754127B2 · König et al. · 2017 [cited by applicant]
US 9876766B2 · Ukena et al. · 2018 [cited by applicant]
US 9904805B2 · Chhabra · 2018 [cited by applicant]
US 9928379B1 · Hoffer · 2018 [cited by applicant]
US 10169609B1 · Barday · 2019 [cited by applicant]
US 10178083B2 · Resch · 2019 [cited by applicant]
US 10901962B2 · Gubau I Forné · 2021 [cited by applicant]
US 20010054155A1 · Hagan · 2001 [cited by applicant]
US 20030158960A1 · Engberg · 2003 [cited by applicant]
US 20030204592A1 · Crouse-Kemp · 2003 [cited by applicant]
US 20040059952A1 · Newport · 2004 [cited by applicant]
US 20040153908A1 · Schiavone · 2004 [cited by applicant]
US 20050010536A1 · Cochran · 2005 [cited by applicant]
US 20050166263A1 · Nanopoulos et al. · 2005 [cited by applicant]
US 20060015358A1 · Chua · 2006 [cited by applicant]
US 20060020542A1 · Litle · 2006 [cited by applicant]
US 20060168111A1 · Gidwani · 2006 [cited by applicant]
US 20060174037A1 · Bernardi · 2006 [cited by applicant]
US 20060282662A1 · Whitcomb · 2006 [cited by applicant]
US 20070027974A1 · Lee · 2007 [cited by applicant]
US 20070118419A1 · Maga · 2007 [cited by applicant]
US 20070150568A1 · Ruiz · 2007 [cited by applicant]
US 20070198432A1 · Pitroda · 2007 [cited by applicant]
US 20080069341A1 · Relyea · 2008 [cited by applicant]
US 20080195965A1 · Pomerantz · 2008 [cited by applicant]
US 20090083367A1 · Li · 2009 [cited by applicant]
US 20090132366A1 · Lam · 2009 [cited by applicant]
US 20090157593A1 · Hayashi · 2009 [cited by examiner]
US 20090254971A1 · Herz · 2009 [cited by applicant]
US 20090323937A1 · Teng · 2009 [cited by applicant]
US 20100114776A1 · Weller · 2010 [cited by applicant]
US 20100145960A1 · Casteel · 2010 [cited by applicant]
US 20100199098A1 · King · 2010 [cited by applicant]
US 20100199356A1 · Krishnamurthy · 2010 [cited by applicant]
US 20100205448A1 · Tarhan · 2010 [cited by applicant]
US 20110010563A1 · Lee · 2011 [cited by applicant]
US 20110035414A1 · Barton · 2011 [cited by applicant]
US 20110055548A1 · Varghese · 2011 [cited by applicant]
US 20110208599A1 · Sen · 2011 [cited by applicant]
US 20110241825A1 · Kitamura · 2011 [cited by applicant]
US 20110302598A1 · Lundgren · 2011 [cited by applicant]
US 20110311049A1 · Amaudruz · 2011 [cited by applicant]
US 20120047530A1 · Shkedi · 2012 [cited by applicant]
US 20120053987A1 · Satyavolu · 2012 [cited by applicant]
US 20120054680A1 · Moonka · 2012 [cited by applicant]
US 20120131075A1 · Mawdsley et al. · 2012 [cited by applicant]
US 20120179688A1 · Von · 2012 [cited by applicant]
US 20120278876A1 · Mcdonald · 2012 [cited by applicant]
US 20120296829A1 · Camenisch · 2012 [cited by applicant]
US 20120316992A1 · Oborne · 2012 [cited by applicant]
US 20120323656A1 · Leach · 2012 [cited by applicant]
US 20120324242A1 · Kirsch · 2012 [cited by applicant]
US 20130042313A1 · Lambert · 2013 [cited by applicant]
US 20130091452A1 · Sorden · 2013 [cited by applicant]
US 20130117272A1 · Barga · 2013 [cited by examiner]
US 20130219481A1 · Voltz · 2013 [cited by applicant]
US 20130297504A1 · Nwokolo et al. · 2013 [cited by applicant]
US 20140025753A1 · Gronowski · 2014 [cited by applicant]
US 20140032723A1 · Nema · 2014 [cited by applicant]
US 20140287723A1 · Lafever · 2014 [cited by applicant]
US 20140359782A1 · Golic · 2014 [cited by applicant]
US 20150249679A1 · Villegas · 2015 [cited by applicant]
US 20150379303A1 · Lafever · 2015 [cited by applicant]
US 20160234203A1 · Gatto · 2016 [cited by examiner]
US 20160292672A1 · Fay · 2016 [cited by applicant]
US 20160315925A1 · Lowenberg · 2016 [cited by applicant]
US 20170039330A1 · Tanner, Jr. · 2017 [cited by applicant]
US 20170208041A1 · Kho · 2017 [cited by applicant]
US 20170243028A1 · Lafever · 2017 [cited by applicant]
US 20180046753A1 · Shelton · 2018 [cited by applicant]
US 20180089041A1 · Smith · 2018 [cited by applicant]
US 20200160388A1 · Sabeg · 2020 [cited by applicant]
US 20210192082A1 · Jones · 2021 [cited by applicant]
US 20220245237A1 · Briongos · 2022 [cited by applicant]
US 20230060676A1 · Darling · 2023 [cited by applicant]
US 20230297406A1 · Rogers · 2023 [cited by applicant]
DE 19638072A1 · 1998 [cited by applicant]
EP 1154624A2 · 2001 [cited by applicant]
WO 2013097886A1 · 2013 [cited by applicant]
WO 2014078569A1 · 2014 [cited by applicant]
WO 2014082648A1 · 2014 [cited by applicant]
WO 2017027900A1 · 2017 [cited by applicant]
WO 2018009979A1 · 2018 [cited by applicant]
WO 2021010896A1 · 2021 [cited by applicant]
Singer, Natasha, A Game That Deals in Personal Data, The New York Times Bits, Jul. 10, 2013, available at http://bits.blogs.nytimes.com/2013/07/10/a-game-that-deals-in-personal-data/?pagewanted=print&_r=0. [cited by applicant]
Singer, Natasha, Acxiom, the Quiet Giant of Consumer Database Marketing—Mapping, and Sharing, the Consumer Genome, The New York Times, Jun. 16, 2013, available at http://www.nytimes.com/2012/06/17/technology/acxiom-the-… [cited by applicant]
Singer, Natasha, FTC Member Starts ‘Reclaim Your Name’ Campaign for Personal Data, The New York Times Bits, Jun. 26, 2013, available at http://bits.blogs.nytimes.com/2013/06/26/reclaim-your-name/pagewanted=print. [cited by applicant]
Singer, Natasha, Your Online Attention, Bought in an Instant, The New York Times, Nov. 17, 2012, available at http://www.nytimes.com/2012/11/18/technology/your-online-attention-bought-in-an-instant-by-advertisers.html?p… [cited by applicant]
Stampler, Laura, Facebook Ads Are About To Get Even More Personal [The Brief], Business Insider, Feb. 25, 2013, available at http://www.businesinsider.com/facebook-ads-will-get-even-more-personal-the-brief-2013-2. [cited by applicant]
Stengel, Richard, Editor's Desk: Making Sense of Our Wireless World, TIME, Aug. 27, 2013, available at http://content.time.com/time/magazine/article/0,9171,2122243,00.html. [cited by applicant]
Sterling, Greg, FTC Commissioner Surprises Marketers With “Reclaim Your Name” Proposal, Marketing Land, Jun. 27, 2013, available at http://marketingland.com/ftc-commission-surprises-marketers-with-reclaim-your-name-prop… [cited by applicant]
Tanner, Adam, Data Brokers Don't Know You From A Naked Man Stumbling On The Beach, Forbes, Aug. 6, 2013, available at http://www.forbes.com/sites/adamtanner/2013/08/06/data-brokers-dont-know-you-from-a-naked-man-stumbli… [cited by applicant]
WSJ Staff, Readers Weigh In On Privacy Protection [Pie Chart], Wall Street Journal, Mar. 5, 2013, available at http://blogs.wsj.com/digits/2013/03/05/vote-the-governments-role-in-data-privacy/. [cited by applicant]
Zahid Iqbal et al., “Toward User-Centric Privacy-Aware User Profile Ontology for Future Services,” Communication Theory, Reliability, and Quality of Service (CTRQ), 2010 Third International Conference on, IEEE, Piscataw… [cited by applicant]
“We'll see you, anon: Can big databases be kept both anonymous and useful?” The Economist, Apr. 15, 2015, available at http://www.economist.com/news/science-and-technology/21660966-can-big-databases-be-kept-both-anonymo… [cited by applicant]
Acxiom, Acxiom Data FAQ, About Acxiom, available at http://www.acxiom.com/about-acxiom/privacy/acxiom-data-faq/, May 30, 2025. [cited by applicant]
Bort, Julie, MasterCard Just Took A Stake In A Hot Big Data Startup, Business Insider, Feb. 11, 2013, available at http://www.businessinsider.com/mastercard-big-data-for-shopping-habits-2013-2#comments. [cited by applicant]
Bowdish, Lawrence, “The Risks of Data Minimization,” U.S. Chamber of Commerce Foundation, Apr. 2, 2015, available at http://www.uschamberfoundation.org/blog/post/risks-data-minimization/42945. [cited by applicant]
Brill, Julie, Reclaim Your Name, Keynote Address at the 23rd Computers Freedom and Privacy Conference Jun. 26, 2013, available at http://www.ftc.gov/speeches/brill/130626computersfreedom.pdf. [cited by applicant]
Bustos, Linda, How Data Brokers Track Consumers [Infographic], Get Elastic, Jun. 14, 2013, available at http://www.getelastic.com/how-data-brokers-track-consumers-infographic/. [cited by applicant]
Calo, Professor Ryan, Digital Market Manipulation—Legal Studies Research Paper No. 2013-27, University of Washington School of Law, 8/15/203, available at http://papers.ssm.com/sol3/JELJOUR_Results.cfm?form_name=journal… [cited by applicant]
Carr, Austin, Will Foursquare CEO Dennis Crowley Finally Get It Right?, Fast Company, Sep. 2013, available at http://www.fastcompany.com/3014821/will-foursquare-ceo-dennis-crowley-finally-get-it-right. [cited by applicant]
D. Morikawa et al, “A Proposal of User Profile Management Framework for Context-Aware Service,” Proceedings. The 2005 Symposium on Applications and the Internet Workshop—Jan. 31-Feb. 4, 2005—Trento, Italy, Jan. 1, 2005 … [cited by applicant]
Dickey, Megan Rose, How Facebook Gets You To Buy Products Even If You Never Click On Ads, Business Insider, Mar. 20, 2013, available at http://www.businessinsider.com/why-facebook-ads-work-2013-3. [cited by applicant]
Dunning, L., et al., “Privacy Preserving Data Sharing With Anonymous ID Assignment,” IEEE Transactions on Information Forensics and Security, vol. 8, No. 2, Feb. 2013, entire document, http://ieeexplore.ieee.org/stamp/s… [cited by applicant]
Dyche, Jill, “The CRM Handbook: a business guide to customer relationship management,” Addison Wesley Professional, Aug. 9, 2001 [this reference can be found in the List of references on May 23, 2013, in commonly-assign… [cited by applicant]
Electronic Frontier Foundation, About EFF, Electronic Frontier Foundation available at http://www.eff.org/ about, May 30, 2025. [cited by applicant]
Electronic Frontier Foundation, Panopticlick How Unique- and Trackable—Is Your Browser?, Research Project of the Electronic Frontier Foundation, available at https://panopticlick.eff.org/, May 30, 2025. [cited by applicant]
ERN Global, Big data startup ERN secures further $1 million funding, Finextra, Aug. 2, 2013, available at http://www.finextra.com/News/Announcement.aspx?pressreleaseid=51023. [cited by applicant]
Federal Trade Commission, “Internet of Things: Privacy & Security in a Connected World,” FTC Staff Report, Jan. 2015, available at https://www.ftc.gov/system/files/documents/reports/federal-trade-commission-staff-report… [cited by applicant]
Federal Trade Commission, Protecting Consumer Privacy in an Era of Rapid Change—Recommendations for Businesses and Policymakers, FTC Report, Mar. 2012, available at http://ftc.gov/os/2012/03/120326privacyreport.pdf. [cited by applicant]
Gage, Deborah, The New Shape of Big Data, The Wall Street Journal, Mar. 8, 2013, available at http://online.wsj.com/article/SB10001424127887323452204578288264046780392.html. [cited by applicant]
Garfinkel, Simson L., “De-Identification of Personally Identifiable Information,” National Institute of Standards and Technology (NIST), Apr. 2015, available at http://csrc.nist.gov/publications/drafts/nistir-8053/nisti… [cited by applicant]
Gartenstein-Ross, Daveed and Kelsey D. Atherton, How We Killed Privacy—in 4 Easy Steps, Foreign Policy, Aug. 23, 2013, available at http://www.foreignpolicy.com/articles/2013/08/23/how_we_killed_privacy_nsa_surveillance… [cited by applicant]
Gillette, Felix, Snapchat and the Erasable Future of Social Media, Bloomberg Businessweek, Feb. 7, 2013, available at http://www.businessweek.com/printer/articles/95976-snapchat-and-the-erasable-future-of-social-media. [cited by applicant]
Gulyas, G., et al., “Comprehensive Analysis of Web Privacy and Anonymous Web Browsers: Are Next Generation Services Based on Collaborative Filtering?,” Joint SPACE and TIME International Workshops, Jun. 17, 2008, entire… [cited by applicant]
Ingram, Mathew, Remember, Facebook isn't a platform for you to use—you are a platform for Facebook to use, GIGAOM, Mar. 4, 2013, available at http://gigao.com/2013/03/04/remember-facebook-isnt-a-platform-for-you-to-use-… [cited by applicant]
International Search Report and Written Opinion received in PCT Patent Application No. PCT/US2018/029890, mailed Jul. 12, 2018. [cited by applicant]
International Search Report and Written Opinion received in PCT Patent Application No. PCT/US2019/038555, mailed Sep. 5, 2019. [cited by applicant]
Jayson, Sharon, Facebook ‘Likes’ reveal more about you than you think, USA Today, Mar. 11, 2013, available at http://www.usatoday.com/story/news/nation/2013/03/11/facebook-likes-predictions-privacy/1975777/. [cited by applicant]
Journal Reports by Joel R Reidenberg and Thomas H. Davenport, Should the U.S. Adopt European-Style Data-Privacy Protections?, The Wall Street Journal, Mar. 8, 2013, available at http://online.wsj.com/article/SB100014241… [cited by applicant]
Kaye, Kate, FTC's Brill Calls for Congress to Legislate New Data Privacy, Stuns Marketers, Ad Age dataworks, Jun. 26, 2013, available at http://adage.com/article/privacy-and-regulaton/ftc-s-call-legislate-data-privacy-s… [cited by applicant]
KISSmetrics, Note: document included in IDS is a previous version of their home page, KISSmetrics Website, available at https://www.kissmetrics.com, May 30, 2025. [cited by applicant]
Knibbs, Kate, The Snapchat Identity Crisis and Why Impermanence No Longer Matters for the App, Digital Trends, Aug. 21, 2013, available at http://www.digitaltrends.com/social-media/snapchats-identity-crisis-why-imperman… [cited by applicant]
Kroes, Neelie, Statement by Vice President Neelie Kroes “on the consequences of living in an age of total information,” European Comission Memo, Jul. 4, 2013, Brussels, available at http://europa.eu/rapid/press-release_… [cited by applicant]
Leber, Jessica, A Stock Exchange for Your Personal Data, MIT Technology Review, May 1, 2013, available at http://www.technologyreview.cm/new/427796/a-stock-exchange-for-your-personal-data/. [cited by applicant]
Li, Wen-Syan, “Knowledge gathering and matching in heterogeneous databases,” Working Notes of the AAAI Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments, 1995. [cited by applicant]
LifeLock, How LifeLock Works, available at http://www.lifelock.com/how-it-works/, May 30, 2025. [cited by applicant]
Linden, Sheri, Review: ‘Terms and Conditions May Apply’ explores loss of privacy, Los Angeles Times, Jul. 17, 2013, available at http://articles.latimes.com/2013/jul/17/entertainment/la-et-mn-terms-conditions-revie-2013… [cited by applicant]
Lohr, Steve, Big Data is Opening Doors, but Maybe Too Many, The New York Times, Mar. 23, 2013, available at http://www.nytimes.com/2013/03/24/technology/big-data-and-a-renewed-debate-over-privacy.html?pagewanted=print. [cited by applicant]
Magid, Larry, Magid: A much-needed national debate about privacy is now underway, Mercury News, Aug. 16, 2013, available at http://www.mercurynews.com/larry-magid/ci_23877563/magid-much-needed-national-debate-about-priv… [cited by applicant]
Maul, Kimberly, Survey: How Marketing Data Connects To Loyalty, ad exchanger, Apr. 18, 2013, available at http://www.adexchanger.com/data-nugget/in-an-effort-to-build-loyalty-marketers-must-turn-to-company-wide-data/. [cited by applicant]
Mielikainen, Taneli, “Privacy problems with anonymized transaction databases,” Discovery Science, Springer Berline Heidelberg, 2004. [cited by applicant]
Moss, Frank, How Small Businesses Are Innovating With ‘Big Data,’ Fox Business: Small Business Center, Oct. 6, 2011, available at http://smallbusiness.foxbusiness.com/biz-on-main/2011/10/06/how-small-businesses-are-inno… [cited by applicant]
Nice, NICE to Acquire Causata to Enable a Seamless Customer Experience across the Web and Contact Center, Aug. 7, 2013, available at http://www.nice.com/nice-acquire-causata-enable-seamless-customer-experience-across-we… [cited by applicant]
Nomura Research Institute, “Survey on Blockchain Technologies and Related Services,” Mar. 31, 2016, XP055486903, Retrieved from the Internet: URL: http://www.meti.go.jp/english/press/2016/pdf/0531_01f.pdf [retrieved on … [cited by applicant]
O'Hara, John, Your Customers Know You're Watching Them, Harvard Business Review Blog Network, Apr. 5, 2013, available at http://blogs.hbr.org/cs/2013/04/your_customers_know_youre_watching_them.html. [cited by applicant]
Ohm, Paul, “Broken Promises Of Privacy: Responding To The Surprising Failure Of Anonymization,” UCLA Law Review, Aug. 2009 [retrieved from http://www.uclalawreview.org/?p=1353]. [cited by applicant]
Peter Schartner et al, “Unique User-Generated Digital Pseudonyms,” Jan. 1, 2005 (Jan. 1, 2005), Computer Network Security Lecture Notices in Computer Science; LNCS, Springer, Berlin, DE, pp. 194-205, XP019020295, ISBN: … [cited by applicant]
Podesta, John, et al., “Big Data: Seizing Opportunities, Preserving Values,” Executive Office of the President, May 2014, available at https://www.whitehouse.gov/sites/default/files/docs/big_data_privacy_report_may_1_20… [cited by applicant]
Rao, Leena, The Ecommerce Revolution Is All About You, TechCrunch, Jan. 29, 2012, available at http://techcrunch.com/2012/01/29/the-ecommerce-revolution-is-all-about-you/. [cited by applicant]
Reding, Viviane, Q. and A. With Viviane Reding, The New York Times Business Day, Feb. 2, 2013, available at http://www.nytimes.com/2013/02/03/business/q-and-a-with-viviane-reding.html. [cited by applicant]
Reitman, Rainey, New California “Right to Know” Act Would Let Consumers Find Out Who Has Their Personal Data—And Ge a Copy of It, Electronic Frontier Foundation, Apr. 2, 2013, available at http://www.eff.org/deeplinks/2… [cited by applicant]
Singer, Natasha, A Data Broker Offers a Peek Behind the Curtain, The New York Times Business Day, Aug. 31, 2013, available at http://www.nytimes.com/2013/09/01/business/a-data-broker-offers-a-peek-behind-the-curtain.htm… [cited by applicant]