Abstract: Generally, this disclosure provides systems, devices, methods and computer readable media for an audio device with noise interference mitigation capability. The audio device may include an interference detection module to detect an interfering voice audio signal received from an interfering audio source. The device may also include an interference identification module to identify the interfering audio source. The device may further include an impact estimation module to estimate an impact of the interfering voice audio signal on a user of the audio device and a communication module to transmit a volume correction request to the interfering audio source. The volume correction request may be based on the identification and the estimated impact. Other embodiments may be described and claimed.

Abstract: Providing peer-to-peer network security includes collecting, by a local trusted network device, local trust data related to behavior of the local trusted network device, receiving, by one or more remote trusted network devices, additional trust data for the local trusted network device, calculating a combined trust score for the local trusted network device based on the local trust data and additional trust data, and modifying activity of the local trusted network device based on the combined trust score.

Abstract: A technology is described for determining a position of a HBC (Human Body Channel) sensor. An example method may include receiving signal data for a radio signal from a first transmitting HBC sensor transmitted over a human body channel. A signal loss of the radio signal can be calculated using the signal data received from the first transmitting HBC sensor, where the signal loss may be a function of distance of the first transmitting HBC sensor from a receiver. A distance of the first transmitting HBC sensor from the receiver can then be determined based in part on the signal loss and a relative position of the first transmitting HBC sensor can be identified based in part on the distance between the first transmitting HBC sensor and the receiver.

Abstract: A technology is described for determining a position of a HBC (Human Body Channel) sensor. An example method may include receiving signal data for a radio signal from a first transmitting HBC sensor transmitted over a human body channel. A signal loss of the radio signal can be calculated using the signal data received from the first transmitting HBC sensor, where the signal loss may be a function of distance of the first transmitting HBC sensor from a receiver. A distance of the first transmitting HBC sensor from the receiver can then be determined based in part on the signal loss and a relative position of the first transmitting HBC sensor can be identified based in part on the distance between the first transmitting HBC sensor and the receiver.

Abstract: Systems and methods may detect a condition with respect to a first device and generate a distress signal if the condition satisfies one or more safety criteria that are relevant to a second device. Additionally, the distress signal may be broadcasted, wherein the distress signal bypasses one or more application controls of the first device and has a transmission range that is restricted to a local area. In one example, one or more local preventive actions may be triggered, via the application control(s), based on the distress signal.

Abstract: Providing optical watermark signals for a visual authentication session by performing at least the following: receive, at an anti-spoof engine, an instruction to perform visual authentication operations for a visual authentication session, generate, with the anti-spoof engine, an optical watermark signal based on receiving the instruction, wherein the optical watermark signal includes at least one optical identifier to authenticate images captured during the visual authentication session, obtain, with the anti-spoof engine, an image source that includes captured images of the visual authentication session, determine, with the anti-spoof engine, whether the image source includes a reflected optical watermark signal, and compare, with the anti-spoof engine, whether the reflected optical watermark signal matches the generated optical watermark signal based on the determination that the image source includes the reflected optical watermark signal.

Abstract: In an example, a DHN (DHN) is provided for enabling grantees to access digitally-controlled assets of a principal. The principal (level 0) establishes a digital testament (DT), identifying one or more grantees on levels 1-n. Each grantee receives a digital heritage certificate (DHC), which may be based on the PKI certificate definition. The DHC includes a “PREDECESSORS” field, identifying one or more predecessor certificates that must be revoked before the DHC is valid. All grantee DHCs have the principal's level 0, DHC as a predecessor certificate. Level n certificates may also be valid only if all certificates at level n?1, have been revoked. In practice, a DHC may be revoked when a user of the certificate passes away, so that nth generation grantees inherit only when generation n?1, has passed away.

Abstract: System and techniques for multiple stream tuning are described herein. A plurality of content streams may be received. The plurality of content streams may be ranked. A user attention level may be scored as the user observes at least one content stream of the plurality of content streams. The user attention level and a rank for the at least one content stream may be compared to remaining ranks of the plurality of content streams to produce a difference. A stream action may be performed on a set of content streams from the plurality of content streams based on the difference.

Abstract: Various systems and methods for providing a mechanism for multi-modal user authentication are described herein. An authentication system for multi-modal user authentication includes a memory including image data captured by a camera array, the image data including a hand of a user; and an image processor to: determine a hand geometry of the hand based on the image data; determine a palm print of the hand based on the image data; determine a gesture performed by the hand based on the image data; and determine a bio-behavioral movement sequence performed by the hand based on the image data; and an authentication module to construct a user biometric template using the hand geometry, palm print, gesture, and bio-behavioral movement sequence.

Abstract: Technologies are provided in embodiments to establish trust between a trusted execution environment (TEE) and a peripheral device. Embodiments are configured to communicate with an attestation server to generate an encryption key, and to establish, using the encryption key, a secure connection with an authentication server to enable communication between the authentication server and the peripheral device. Embodiments are also configured to receive a pairwise master key if the peripheral device is authenticated and to receive a trusted communication from the peripheral device based, at least in part, on the pairwise master key. Embodiments may also be configured to identify a connection to the peripheral device before the peripheral device is authenticated to the authentication server, receive an identifier from the peripheral device, and establish a connection to an attestation server based on at least a portion of the identifier.

Abstract: System and techniques for multiple stream tuning are described herein. A plurality of content streams may be received. The plurality of content streams may be ranked. A user attention level may be scored as the user observes at least one content stream of the plurality of content streams. The user attention level and a rank for the at least one content stream may be compared to remaining ranks of the plurality of content streams to produce a difference. A stream action may be performed on a set of content streams from the plurality of content streams based on the difference.

Abstract: Measurement exchange networks and protocols to exchange measurements of a parameter amongst devices (e.g., IoT devices), select the best measurement(s), accuracy/precision-wise, and determine a process variable for a control system based on the selected best measurement(s). A device may select a peer-provided best measurement to output as the process variable in place of a local measurement, and/or compute the process variable from multiple best measurements (e.g., local and/or peer-provided measurements). Metadata may be used to select a measurement(s) and/or to increase reliability/trust of exchanged data. In this way, each device of an exchange group/network may obtain the highest measurement accuracy of all available collocated sensors with little or no additional processing or cloud connectivity.

Abstract: A wearable device provides protection for personal identity information by fragmenting a key needed to release the personal identity information among members of a body area network of wearable devices. A shared secret algorithm is used to allow unlocking the personal identity information with fragmental keys from less than all of the wearable devices in the body area network. The wearable devices may also provide protection for other personal user data by employing a disconnect and erase protocol that causes wearable devices to drop connections with an external personal data space and erase locally stored personal information if a life pulse from a connectivity root device is not received within a configurable predefined period.

Abstract: A technique for cognitive protection of a system can include digital and analog sensors to measure or calculate operational parameters of a system. Digital sensors may be used to determine measured or primary operational parameters. The analog sensors are used to measure analog sensor information related to operation of the system. Analog sensor information that is measured may be used to calculate secondary operational parameters that includes the same operating parameters as the primary operational parameters. Lockstep analysis may be used to compare the primary operational parameters with the secondary operational parameters so as to determine a discrepancy in the operational parameters in the system.

Abstract: Systems and methods here may be used for authorizing network access including using by a server computer with a processor and memory, for receiving, through the gateway support node, a request to access the first network associated with the gateway support node from a client device, wherein the request includes a client device identifier, sending a validation request of the client device identifier to the data storage server, receiving a validation response based on previously registered client device identifier information and previously registered credential information from a second network, from the data storage server and sending authorization approval to the gateway support node for the client device access request to the first network.

Abstract: Generally, this disclosure provides systems, devices, methods and computer readable media for an audio device with noise interference mitigation capability. The audio device may include an interference detection module to detect an interfering voice audio signal received from an interfering audio source. The device may also include an interference identification module to identify the interfering audio source. The device may further include an impact estimation module to estimate an impact of the interfering voice audio signal on a user of the audio device and a communication module to transmit a volume correction request to the interfering audio source. The volume correction request may be based on the identification and the estimated impact. Other embodiments may be described and claimed.

Abstract: In an example, a client-server platform identity architecture is disclosed. The platform identity architecture may be used to enable a venue operator to provide online services and to collect telemetry data and metrics while giving end users greater control over privacy. When entering a compatible venue, the user's device generates a signed temporary pseudonymous identity (TPI) in secure hardware or software. Any telemetry uploaded to the venue server includes the signature so that the server can verify that the data are valid. The TPI may have a built-in expiry. The venue server may thus receive useful tracking data during the term of the TPI, while the user is assured that the data are not kept permanently or correlated to personally-identifying information.

Abstract: Embodiments of a system and method for improving conference call speech clarity are generally described herein. A method may include receiving presenter speech from a presenter to be cast to one or more participants. The method may include transcribing the speech to text and determining a readability score of the text. The method may include displaying the readability score, using a speech clarity indicator, to the presenter used as a metric to gauge participants' understanding.

Abstract: Disclosed in some examples are computer systems, methods, and machine readable mediums which provide for concurrent instances of network based collaboration sessions. Media that is shared in a collaboration session may be termed blocking media or unblocking media. The active session presents both the blocking and non-blocking media. Only non-blocking media is presented in the background sessions. Thus, for example, the audio, video, or all the media may be presented in the active session, and only the non-blocking media such as a text chat may be presented in one or more background sessions. Users may switch which collaboration session is active and which collaboration sessions are background sessions.

Abstract: A wearable device provides protection for personal identity information by fragmenting a key needed to release the personal identity information among members of a body area network of wearable devices. A shared secret algorithm is used to allow unlocking the personal identity information with fragmental keys from less than all of the wearable devices in the body area network. The wearable devices may also provide protection for other personal user data by employing a disconnect and erase protocol that causes wearable devices to drop connections with an external personal data space and erase locally stored personal information if a life pulse from a connectivity root device is not received within a configurable predefined period.