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: According to various embodiments, a mobile device continuously and/or automatically scans a user environment for tags containing non-human-readable data. The mobile device may continuously and/or automatically scan the environment for tags without being specifically directed at a particular tag. The mobile device may be adapted to scan for audio tags, radio frequency tags, and/or image tags. The mobile device may be configured to scan for and identify tags within the user environment that satisfy a user preference. The mobile device may perform an action in response to identifying a tag that satisfies a user preference. The mobile device may be configured to scan for a wide variety of tags, including tags in the form of quick response codes, steganographic content, audio watermarks, audio outside of a human audible range, radio frequency identification tags, long wavelength identification tags, near field communication tags, and/or a Memory Spot device.

Abstract: According to various embodiments, a mobile device continuously and/or automatically scans a user environment for tags containing non-human-readable data. The mobile device may continuously and/or automatically scan the environment for tags without being specifically directed at a particular tag. The mobile device may be adapted to scan for audio tags, radio frequency tags, and/or image tags. The mobile device may be configured to scan for and identify tags within the user environment that satisfy a user preference. The mobile device may perform an action in response to identifying a tag that satisfies a user preference. The mobile device may be configured to scan for a wide variety of tags, including tags in the form of quick response codes, steganographic content, audio watermarks, audio outside of a human audible range, radio frequency identification tags, long wavelength identification tags, near field communication tags, and/or a Memory Spot device.

Abstract: According to various embodiments, a mobile device continuously and/or automatically scans a user environment for tags containing non-human-readable data. The mobile device may continuously and/or automatically scan the environment for tags without being specifically directed at a particular tag. The mobile device may be adapted to scan for audio tags, radio frequency tags, and/or image tags. The mobile device may be configured to scan for and identify tags within the user environment that satisfy a user preference. The mobile device may perform an action in response to identifying a tag that satisfies a user preference. The mobile device may be configured to scan for a wide variety of tags, including tags in the form of quick response codes, steganographic content, audio watermarks, audio outside of a human audible range, radio frequency identification tags, long wavelength identification tags, near field communication tags, and/or a Memory Spot device.

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: An embodiment or embodiments of an electronic device can comprise an input interface and a hardware component coupled to the input interface. The input interface can be operable to receive a plurality of taint indicators corresponding to at least one of a plurality of taints indicative of potential security risk which are injected from at least one of a plurality of resources. The hardware component can be operable to track the plurality of taints.

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: An embodiment or embodiments of an information handling apparatus can use an entitlement vector to simultaneously manage and activate entitlement of objects and processes to various resources independently from one another. An information handling apparatus can comprise an entitlement vector operable to specify resources used by at least one object of a plurality of object. The information handling apparatus can further comprise a scheduler operable to schedule a plurality of threads based at least partly on entitlement as specified by the entitlement vector.

Abstract: An embodiment or embodiments of an information handling apparatus are adapted to facilitate resource allocation using an entitlement vector comprising multiple fields that are respectively directed to multiple different resources or capabilities. In illustrative embodiments, an information handling apparatus can comprise an entitlement vector configured with a plurality of bit fields at least partly corresponding to a plurality of resources and operable to specify the resources used by at least one object of a plurality of a plurality of objects. The information handling apparatus can further comprise logic operable to allocate the resources to the at least one object based on entitlement as specified by the entitlement vector.

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.

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 disabling the one or more devices automatically 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: A computationally implemented method includes, but is not limited to: for determining one or more behavioral fingerprints associated with one or more network accessible users; relationally mapping the one or more behavioral fingerprints to generate a trust verification schema associated with the one or more network accessible users; and determining whether to authenticate one or more transactions via the trust verification schema. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: An embodiment of an information handling apparatus can comprise an entitlement vector operable to specify resources used by at least one object of a plurality of a plurality of objects, and logic operable to issue a hint instruction based on the entitlement vector for usage in scheduling the resources.

Abstract: A processor is adapted to manage security risk by updating and monitoring a taint storage element in response to receipt of taint indicators, and responding to predetermined taint conditions detecting by the monitoring. The processor can be operable to execute instructions of a defined instruction set architecture and comprises an instruction of the instruction set architecture operable to access data from a source and operable to receive a taint indicator indicative of potential security risk associated with the data. The processor can further comprise a taint storage element operable for updating in response to receipt of the taint indicator and logic. The logic can be operable to update the taint storage element, process the taint storage element, determine a security risk condition based on the processing of the taint storage element, and respond to the security risk condition.

Abstract: A data handling apparatus are adapted to facilitate resource allocation, allocating resources upon which objects execute. A data handling apparatus can comprise resource allocation logic and a scheduler. The resource allocation logic can be operable to dynamically set entitlement value for a plurality of resources comprising physical/logical resources and operational resources. The entitlement value are specified as predetermined rights wherein a process of a plurality of processes is entitled to a predetermined percentage of operational resources. The scheduler can be operable to monitor the entitlement value and schedule the processes based on priority of the entitlement values.

Abstract: Embodiments of memory devices, computer systems, security apparatus, data handling systems, and the like, and associated methods facilitate security in a system incorporating the concept of a security perimeter which combines cryptographic and physical security. The memory device can comprise a memory operable to store information communicated with a processor, and a logic operable to create at least one cryptographic security perimeter enclosing at least one selected region of the memory and operable to manage information communication between the processor and the at least one selected region of the memory.