Elwha LLC

Xeudong Huang

Roderick A Hyde

Clarence T Tegreene

Nathan P Myhrvold

Mark A Malamud

Robert W Lord

Royce A Levien

Richard T Lord

Marc Eliot Davis

Matthew Graham Dyor

Daniel A Gerrity

Lowell L Wood, Jr

Edward K Y Jung

Jordin T Kare

William Henry Gates, Iii

Qi Lu

Harry Shum

Satya Nadella

Danny Allen Reed

Methods, apparatuses, computer program products, devices and systems are described that carry out accepting from a user identifier encryption entity at least one encrypted identifier corresponding to a user having at least one instance of data for encryption; encrypting the at least one instance of data to produce level-one-encrypted data; associating the at least one encrypted identifier with the level-one-encrypted data, wherein a level-one decryption key for the level-one-encrypted data is inaccessible to the user identifier encryption entity; and transmitting the level-one-encrypted data and associated encrypted identifier.

Computational systems and methods for encrypting data for anonymous storage

Disclosed herein are example embodiments for behavioral fingerprinting with adaptive development. For certain example embodiments, one or more devices may: (i) determine at least one indication of utilization for at least one authorized user via at least one user-device interaction; and (ii) incorporate at least one indication of utilization into at least one behavioral fingerprint that is associated with at least one authorized user, with the at least one behavioral fingerprint including one or more indicators of utilization of one or more user devices by the at least one authorized user. However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, or so forth.

Behavioral fingerprinting with adaptive development

Disclosed herein are example embodiments for behavioral fingerprinting with social networking. For certain example embodiments, one or more devices may: (i) communicate for at least one interaction related to a user of a user device in a behavioral fingerprint habitat; or (ii) administer at least an aspect of at least one interaction related to a user of a user device in a behavioral fingerprint habitat. However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, or so forth.

Behavioral fingerprinting with social networking

Disclosed herein are example embodiments for behavioral fingerprinting via inferred personal relation. For certain example embodiments, at least one indication of personal relation for at least one authorized user may be inferred via at least one user-device interaction, and the at least one indication of personal relation may be incorporated into at least one behavioral fingerprint that is associated with the at least one authorized user, with the at least one behavioral fingerprint including one or more indicators of utilization of one or more user devices by the at least one authorized user.

Behavioral fingerprinting via inferred personal relation

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Bellevue, WA, United States of America

Xeudong Huang