Abstract:
Technologies for dynamically implementing an image protection policy include a camera device with a camera to capture an image of at least one person. The camera device determines a location in the image of at least one person in the image, determines a location of at least one personal computing device, and maps the personal computing devices to the persons captured in the image based on the determined device and image locations. The camera device may broadcast an announcement of the creation of the image to the personal computing devices, negotiate an image protection policy with each of the personal computing devices, and implement the negotiated image protection policy.
Abstract:
Described herein are systems and methods for managing and distributing device and/or software settings. In some embodiments, the systems and methods permit a first device to upload settings information and/or user information to a network server. The network server may store such settings information and post it for download by at least one second device. Mechanisms for establishing a trust rating for such settings information are also described.
Abstract:
Apparatus, computer-readable storage medium, and method associated with provision of a virtual environment. In embodiments, a computing apparatus may include a processor and a virtualization module. The virtualization module may be operated by the processor to provide the virtual environment, based at least in part on real time data of a physical environment virtualized in the virtual environment. In embodiments, the computing apparatus may further include a physical environment module. The physical environment module may be operated by the processor to acquire the real time data of the physical environment for the virtualization module. Other embodiments may be described and/or claimed.
Abstract:
This disclosure is directed to a protection system including machine learning snapshot evaluation. A device may comprise a machine learning engine (MLE) to generate snapshots of device operation. The MLE may use active or planned operations in the snapshot to learn user behavior. Once normal user behavior is established for the device, the MLE may be able to determine when snapshots include unusual behavior that may signify a threat to the device. Snapshots determined to include unusual behavior may be transmitted to a remote resource for evaluation. The remote resource may include at least a user behavior classification engine (UBCE) to classify the user behavior by characterizing it as at least one type of use. The snapshot may be analyzed by the UBCE to determine if potential threats exist in the device, and the threat analysis may be provided to the device for evaluation and/or corrective action.
Abstract:
Generally, this disclosure describes location discrepancy fixes using a community of users. A method may include correcting a location of a mobile device when a location signal is lost based on a last known location and a trajectory, wherein a corrected location corresponds to an actual location provided by at least one user of a community of users and stored in a list of corrected locations, and the actual location is related to the last known location and the trajectory.
Abstract:
Generally, this disclosure describes a method and system for authenticating to a network via a device-specific one-time password. A method in an embodiment may include generating a first one-time password (OTP) based at least in part on a plurality of client device attributes; and providing the first OTP to an authenticator associated with a private network during a first session, wherein the authenticator is configured to authenticate the client device to at least one of the private network and protected content included in the private network for a second session following the first session based on the provided first OTPP.
Abstract:
Generally, this disclosure describes authentication using biometric data for mobile device e-commerce transactions. A method may include capturing a mobile device user's biometric data; comparing the captured biometric data to authorized user biometric data stored on the mobile device; and authenticating an e-commerce transaction if the captured biometric data corresponds to the authorized user biometric data stored on the mobile device.
Abstract:
Systems and methods may provide for receiving web content and detecting an access control attribute associated with the web content. Additionally, the access control attribute may be monitored for a disablement condition. In one example, the disablement condition may be detected, an access policy may be determined in response to the disablement condition, and the access policy may be implemented. Other embodiments are described and claimed.
Abstract:
Generally, this disclosure describes a method and system for peer-based collaborative discovery and signaling of another device in limited signal areas. A method may include, in an embodiment, initiating a sensing mode in a seek mobile device in response to receiving an indication that a location of a lost mobile device is unknown; capturing first position data if a signal from the lost device is detected; capturing second position data in response to losing the signal from the lost device; and determining an estimated location of the lost device based on the first position data and the second position data, wherein the lost device is located in an area of limited or no connectivity and the seek device is moving through the area.
Abstract:
A method, apparatus and system enable access control and intrusion detection on encrypted data. Specifically, application data on a node may be routed to a partition on the host. The partition may utilize Direct Memory Access ("DMA") to access session key stored in a host OS. The partition may thereafter utilize the session key to perform intrusion detection on encrypted data from the application.