Abstract: Methods, apparatuses, computer program products, devices and systems are described that carry out accepting at least one identifier corresponding to a user having at least one instance of data for encryption; encrypting the at least one identifier corresponding to the user to produce at least one encrypted identifier, wherein the at least one encrypted identifier also corresponds to the at least one instance of data for encryption; and transmitting the encrypted identifier to an encryption entity.

Abstract: Behavioral fingerprints hold gathered data related to users' interactions with a device or devices, inter alia. Behavioral fingerprints may be used to at least partially determine a level of accessibility of the device or of an aspect of the device for the user; provide a current status of a network-accessible user associated with the device; activate or deactivate functions, programs or features of the device; generate alerts regarding the user's interaction with the device; assist in identifying a current device as a device being currently used by a network-accessible user, etc. Behavioral fingerprints may include statistical calculations on social network collected data, user input, sensor-provided data as provided by GPS, accelerometers, microphones, cameras, timers, touch-panels, or other indication or combination of the foregoing, whether originating from the device or the network.

Abstract: A computationally implemented method includes, but is not limited to: for receiving at a computing device one or more behavioral fingerprints associated with one or more network accessible users; receiving an authentication request at the computing device, the authentication request associated with one or more proposed transactions of the one or more network accessible users; and transmitting from the computing device a decision associated with the authentication request, the decision based on a trust verification schema generated by relationally mapping the one or more behavioral fingerprints associated with the one or more network accessible users. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally-implemented method, for certain example embodiments, may include, but is not limited to: identifying a network connection coupling a computer server to a computing device; and transmitting, via the network connection, a behavioral fingerprint associated with an authorized user of the computing device, the behavioral fingerprint providing at least one status of the authorized user with respect to the computing device. In addition to the foregoing, other example aspects are presented in the claims, drawings, and written description forming a part of the present disclosure.

Abstract: Disclosed herein are example embodiments for behavioral fingerprinting via social networking interaction. For certain example embodiments, at least one indication of family relation for at least one authorized user may be obtained via at least one social networking interaction, and the at least one indication of family relation may be incorporated into at least one behavioral fingerprint that is associated with the at least one authorized user, 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.

Abstract: Structures and protocols are presented for facilitating a search partly based on a movement status of a search-capable device or on a position of a person's limb or on an association with another search-capable device.

Abstract: A computationally-implemented method, in accordance with certain example embodiments, may include, but is not limited to: receiving at a computer device one or more behavioral fingerprints associated with one or more network accessible users; receiving an authentication request at the computer device, the authentication request associated with one or more proposed transactions of the one or more network accessible users; and transmitting from the computer device a decision associated with the authentication request, the decision based at least partially on a trust verification schema generated from a relational mapping of the one or more behavioral fingerprints associated with the one or more network accessible users. In addition to the foregoing, other aspects are presented in the claims, drawings, and written description forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: determining a behavioral fingerprint associated with a network-accessible user, the behavioral fingerprint providing a current status of the network-accessible user; and controlling one or more devices automatically as a function of the determined behavioral fingerprint and a direction received from the network-accessible user. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A computationally implemented method includes, but is not limited to: determining a behavioral fingerprint associated with a network accessible user of one or more devices, the behavioral fingerprint providing a current status of the network-accessible user; and identifying a current device of the one or more devices as being currently used by the network-accessible user as a function of the determined behavioral fingerprint. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: Methods, systems, and techniques for presenting sponsor supplied content associated with commercial opportunities in a gesture-based user interface are provided. Example embodiments provide a Gesture Based Content Presentation System (GBCPS), which enables a gesture-based user interface to determine and present sponsor supplied content associated with an opportunity for commercialization related to a portion of electronic input that has been indicated by a received gesture. In overview, the GBCPS allows a portion (e.g., an area, part, etc.) of electronically presented content to be dynamically indicated by a gesture. The GBCPS examines the indicated portion in conjunction with possibly a set of (e.g., one or more) factors to determine which sponsor supplied content associated with an opportunity for commercialization to present.

Abstract: Methods, systems, and techniques for presenting commercial opportunities to be used in a gesture-based user interface are provided. Example embodiments provide a Gesture Based Content Presentation System (GBCPS), which enables a gesture-based user interface to offer occasions for an opportunity for commercialization related to a portion of electronic input that has been indicated by a received gesture to one or more sponsors of content. In overview, the GBCPS allows a portion (e.g., an area, part, etc.) of electronically presented content to be dynamically indicated by a gesture. The GBCPS examines the indicated portion in conjunction with a set of (e.g., one or more) factors to determine which opportunity for commercialization to present which is dynamically or has been previously associated with the content indicated by the gesture. Once the opportunity for commercialization is determined, it is then presented to the user in conjunction with the indicated product and/or service.

Abstract: Methods, systems, and techniques for presenting auxiliary content and information regarding browsing and/or navigation futures to be used in a gesture-based user interface are provided. Example embodiments provide a Gesture Based Content Presentation System (GBCPS), which enables a gesture-based user interface to offer to one or more sponsors of content information regarding a next content to be examined by a user related to a portion of electronic input that has been indicated by a received gesture. In overview, the GBCPS allows a portion (e.g., an area, part, etc.) of electronically presented content to be dynamically indicated by a gesture. The GBCPS examines the indicated portion in conjunction with potentially a set of (e.g., one or more) factors to determine a next content and distributes information to potential sponsors. Once auxiliary content is received or determined, it is then presented to the user when the next content is navigated to.

Abstract: Structures and protocols are presented for facilitating a search partly based on a movement status of a search-capable device or on a position of a person's limb or on an association with another search-capable device.

Abstract: Structures and protocols are presented for facilitating a search partly based on a movement status of a search-capable device or on a position of a person's limb or on an association with another search-capable device.

Abstract: Structures and protocols are presented for facilitating a search partly based on a movement status of a search-capable device or on a position of a person's limb or on an association with another search-capable device.

Abstract: Structures and protocols are presented for facilitating a search partly based on a movement status of a search-capable device or on a position of a person's limb or on an association with another search-capable device.

Abstract: Structures and protocols are presented for facilitating a search partly based on a movement status of a search-capable device or on a position of a person's limb or on an association with another search-capable device.

Abstract: Structures and protocols are presented for facilitating a search partly based on a movement status of a search-capable device or on a position of a person's limb or on an association with another search-capable device.

Abstract: Structures and protocols are presented for facilitating a search partly based on a movement status of a search-capable device or on a position of a person's limb or on an association with another search-capable device.

Abstract: A computationally-implemented method, for certain example embodiments, may include, but is not limited to: determining that a first user of a computing device is associated with the computing device; and determining a level of authentication associated with the first user via the computing device, the level of authentication at least partially based on a behavioral fingerprint. In addition to the foregoing, other example aspects are described in the claims, drawings, and written description forming a part of the present disclosure.