Abstract: An example touch key system may include a master device, one or more carrier devices and protected devices, and a server. The master device may automatically detect a predefined trigger action. In response, the master device may automatically generate a carrier device credential and a corresponding cloud credential. The master device may then automatically send the cloud credential to the server. The master device may also automatically detect the carrier device in electrical communication with the master device. In response, the master device may automatically determine whether the carrier device credential from the key pair is intended for the carrier device. If so, the master device may automatically transfer the carrier device credential to the carrier device. The carrier device may use the carrier device credential to obtain access to the protected device. Other embodiments are described and claimed.

Abstract: Embodiments of apparatus and methods for providing recommendations based on environmental data and associated contextual information are described. In embodiments, an apparatus may include a data collector to receive environmental data and an analysis module to identify a behavioral model of the first user based at least in part on the environmental data associated contextual information of the first user. The apparatus may further include a recommendation module to provide a recommendation to the first user based at least in part on the behavioral model of the first user and/or environmental data for a second user. Other embodiments may be described and/or claimed.

Abstract: An example touch key system may include a master device, one or more carrier devices and protected devices, and a server. The master device may automatically detect a predefined trigger action. In response, the master device may automatically generate a carrier device credential and a corresponding cloud credential. The master device may then automatically send the cloud credential to the server. The master device may also automatically detect the carrier device in electrical communication with the master device. In response, the master device may automatically determine whether the carrier device credential from the key pair is intended for the carrier device. If so, the master device may automatically transfer the carrier device credential to the carrier device. The carrier device may use the carrier device credential to obtain access to the protected device. Other embodiments are described and claimed.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to pair devices to an in-body network. An example apparatus disclosed herein includes a device capability manager to identify remote sensors associated with a candidate medical device, an encryption engine to provide the candidate medical device with hashing instructions to be applied to input values from selected ones of the remote sensors, a measurement engine to acquire input values from local sensors corresponding to the selected ones of the available remote sensors during a measurement schedule, the encryption engine to apply the hashing instructions to the input values from the local sensors, and a pairing engine to authorize the candidate medical device when an encryption key associated with the remote sensors includes a threshold indication of parity with an encryption key associated with the local sensors.

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.