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.
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:
A processor can be used to ensure that program code can only be used for a designed purpose and not exploited by malware. Embodiments of an illustrative processor can comprise logic operable to execute a program instruction and to distinguish whether the program instruction is a legitimate branch instruction or a non-legitimate branch instruction.
Abstract:
An entitlement vector may be used when selecting a thread for execution in a multi-threading environment in terms of aspects such as priority. An embodiment or embodiments of an information handling apparatus can comprise a library comprising a plurality of functions operable to handle a plurality of objects. The information handling apparatus can further comprise an entitlement vector operable to assign entitlement to at least one of a plurality of resources to selected ones of the plurality of functions.
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. Anomalous activity associated with the device may be detected without user intervention at least in part with behavioral fingerprints.
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:
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 processor can be used to ensure that program code can only be used for a designed purpose and not exploited by malware. Embodiments of an illustrative processor can comprise logic operable to execute a program instruction and to distinguish whether the program instruction is a legitimate branch instruction or a non-legitimate branch instruction.
Abstract:
A data processing system, a server such as a federated server, a computer system, and like devices, and associated operating methods can be configured to support fine-grained security including resource allocation and resource scheduling. A data processing system can comprise a federated server operable to access data distributed among a plurality of remote data sources upon request from a plurality of client users and applications; and logic executable on the federated server. The logic can be operable to enforce fine-grained security operations on a plurality of federated shared data sets distributed among the plurality of remote data sources.
Abstract:
Disclosed herein are example embodiments for multi-device behavioral fingerprinting by a user device or a server device. For certain example embodiments, at least one device may obtain 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 two or more user devices by the at least one authorized user. The at least one device may perform at least one authentication-related operation based at least partially on the at least one behavioral fingerprint.