Abstract: Methods and systems for analyzing and predicting aeroelastic flutter on configurable aircraft are disclosed herein. The method may include the steps of: a) flying a known aircraft type above ground, wherein the aircraft has a payload in a known configuration; b) acquiring data from at least one sensor on the aircraft while flying above ground; c) repeating steps a) and b) with a different payload configuration; d) training a machine learning predictive model for the aircraft type for aeroelastic flutter using the collected data; and e) using the predictive model to predict when aeroelastic flutter may occur on the aircraft type when the aircraft has a payload in a new configuration for which data from sensors was not previously collected with the aircraft in flight.

Abstract: The present invention relates to a hydrogel comprising an oxidized alginate containing aldehyde groups, wherein the oxidized alginate is crosslinked with an imine type crosslinker. The hydrogel is particularly suitable as a bioink, i.e. for 3D printing of cell structures. The gels provide good printability and exhibit excellent viscoelasticity, shear thinning and self-healing characteristics.

Abstract: A post stabilization system which uses components which allow for both pushing and pulling forces to be applied to a workpiece in situ. The system uses the ground as an anchor point to stabilize a workpiece being installed. A force application member is connected to an anchoring device at one end. The opposing end of the force application member is an abutment member for applying a stabilizing force to a pole or other vertically oriented workpiece. An adjustment/tensioning member is applied between the anchoring device and the abutment member to allow for adjusting the angle of the workpiece by applying either pushing or pulling forces to the workpiece.

Abstract: A secure migration enclave is provided to identify a launch of a particular virtual machine on a host computing system, where the particular virtual machine is launched to include a secure quoting enclave to perform an attestation of one or more aspects of the virtual machine. A root key for the particular virtual machine is generated using the secure migration enclave hosted on the host computing system for use in association with provisioning the secure quoting enclave with an attestation key to be used in the attestation. The migration enclave registers the root key with a virtual machine registration service.

Abstract: Particular embodiments described herein provide for an electronic device that can be configured to determine that a secure domain has been created on a device, where keys are required to access the secure domain, obtain the keys that are required to access the secure domain from a network element, and encrypt the keys and store the encrypted keys on the device. In an example, only the secure domain can decrypt the encrypted keys and the device is a virtual machine.

Abstract: A secure migration enclave is provided to identify a launch of a particular virtual machine on a host computing system, where the particular virtual machine is launched to include a secure quoting enclave to perform an attestation of one or more aspects of the virtual machine. A root key for the particular virtual machine is generated using the secure migration enclave hosted on the host computing system for use in association with provisioning the secure quoting enclave with an attestation key to be used in the attestation. The migration enclave registers the root key with a virtual machine registration service.

Abstract: Particular embodiments described herein provide for receiving a request from a first cloud component in a cloud network, wherein the request is to access a key and the key allows the first cloud component to access located trusted execution environment of a second cloud component in the cloud network and allow the request on the condition that the first cloud component is authenticated. A more specific example includes determining a type for the first cloud component, and comparing the determined type of the first cloud component with a component type associated with the key. The example may also include blocking the request if the determined type of the first cloud component does not match the component type associated with the key.

Abstract: Generally, this disclosure describes a continuous authentication confidence module. A system may include user device including processor circuitry configured to determine presence data; a confidence factor including at least one of a sensor configured to capture sensor input and a system monitoring module configured to monitor activity of the user device; memory configured to store a confidence score and an operating system; and a continuous authentication confidence module configured to determine the confidence score in response to an initial authentication of a specific user, update the confidence score based, at least in part, an expectation of user presence and/or selected presence data, and notify the operating system that the authentication is no longer valid if the updated confidence score is within a tolerance of a session close threshold; the initial authentication configured to open a session, the confidence score configured to indicate a current strength of authentication during the session.

Abstract: Particular embodiments described herein provide for an electronic device that can be configured to determine that a secure domain has been created on a device, where keys are required to access the secure domain, obtain the keys that are required to access the secure domain from a network element, and encrypt the keys and store the encrypted keys on the device. In an example, only the secure domain can decrypt the encrypted keys and the device is a virtual machine.

Abstract: Particular embodiments described herein provide for an electronic device that can be configured to store data in a secure domain in a cloud network, create encryption keys, where each encryption key is to provide a different type of access to the data, and store the encryption keys in a secure domain key store in the cloud network. In an example, each encryption key provides access to a different version of the data. In another example, a counter engine stores the location of each version of the data in the cloud network.

Abstract: Technologies are provided in embodiments to manage an authentication confirmation score. Embodiments are configured to identify, in absolute session time, a beginning time and an ending time of an interval of an active user session on a client. Embodiments are also configured to determine a first value representing a first subset of a set of prior user sessions, where the prior user sessions of the first subset were active for at least as long as the beginning time. Embodiments can also determine a second value representing a second subset of the set of prior user sessions, where the prior user sessions of the second subset were active for at least as long as the ending time. Embodiments also determine, based on the first and second values, a decay rate for the authentication confidence score of the active user session. In some embodiments, the set is based on context attributes.

Abstract: Technologies are provided in embodiments to manage an authentication confirmation score. Embodiments are configured to identify, in absolute session time, a beginning time and an ending time of an interval of an active user session on a client. Embodiments are also configured to determine a first value representing a first subset of a set of prior user sessions, where the prior user sessions of the first subset were active for at least as long as the beginning time. Embodiments can also determine a second value representing a second subset of the set of prior user sessions, where the prior user sessions of the second subset were active for at least as long as the ending time. Embodiments also determine, based on the first and second values, a decay rate for the authentication confidence score of the active user session. In some embodiments, the set is based on context attributes.

Abstract: Technologies are provided in embodiments to manage an authentication confirmation score. Embodiments are configured to identify, in absolute session time, a beginning time and an ending time of an interval of an active user session on a client. Embodiments are also configured to determine a first value representing a first subset of a set of prior user sessions, where the prior user sessions of the first subset were active for at least as long as the beginning time. Embodiments can also determine a second value representing a second subset of the set of prior user sessions, where the prior user sessions of the second subset were active for at least as long as the ending time. Embodiments also determine, based on the first and second values, a decay rate for the authentication confidence score of the active user session. In some embodiments, the set is based on context attributes.

Abstract: Technologies are provided in embodiments to manage an authentication confirmation score. Embodiments are configured to identify, in absolute session time, a beginning time and an ending time of an interval of an active user session on a client. Embodiments are also configured to determine a first value representing a first subset of a set of prior user sessions, where the prior user sessions of the first subset were active for at least as long as the beginning time. Embodiments can also determine a second value representing a second subset of the set of prior user sessions, where the prior user sessions of the second subset were active for at least as long as the ending time. Embodiments also determine, based on the first and second values, a decay rate for the authentication confidence score of the active user session. In some embodiments, the set is based on context attributes.

Abstract: Generally, this disclosure describes a continuous authentication confidence module. A system may include user device including processor circuitry configured to determine presence data; a confidence factor including at least one of a sensor configured to capture sensor input and a system monitoring module configured to monitor activity of the user device; memory configured to store a confidence score and an operating system; and a continuous authentication confidence module configured to determine the confidence score in response to an initial authentication of a specific user, update the confidence score based, at least in part, an expectation of user presence and/or selected presence data, and notify the operating system that the authentication is no longer valid if the updated confidence score is within a tolerance of a session close threshold; the initial authentication configured to open a session, the confidence score configured to indicate a current strength of authentication during the session.

Abstract: Generally, this disclosure describes a continuous authentication confidence module. A system may include user device including processor circuitry configured to determine presence data; a confidence factor including at least one of a sensor configured to capture sensor input and a system monitoring module configured to monitor activity of the user device; memory configured to store a confidence score and an operating system; and a continuous authentication confidence module configured to determine the confidence score in response to an initial authentication of a specific user, update the confidence score based, at least in part, an expectation of user presence and/or selected presence data, and notify the operating system that the authentication is no longer valid if the updated confidence score is within a tolerance of a session close threshold; the initial authentication configured to open a session, the confidence score configured to indicate a current strength of authentication during the session.

Abstract: Generally, this disclosure describes a continuous authentication confidence module. A system may include user device including processor circuitry configured to determine presence data; a confidence factor including at least one of a sensor configured to capture sensor input and a system monitoring module configured to monitor activity of the user device; memory configured to store a confidence score and an operating system; and a continuous authentication confidence module configured to determine the confidence score in response to an initial authentication of a specific user, update the confidence score based, at least in part, an expectation of user presence and/or selected presence data, and notify the operating system that the authentication is no longer valid if the updated confidence score is within a tolerance of a session close threshold; the initial authentication configured to open a session, the confidence score configured to indicate a current strength of authentication during the session.

Abstract: The present invention estimates parameters for 3D models. Parameters may include, without limitation, surface topology, edge geometry, luminous or reflective characteristics, visual properties, characterization of noise in the signal, or other. A metric is estimated by quantifying a relationship between a received signal and a reference signal. The metric is then utilized to determine a parameter for a 3D model. The metric may include a measurement such as the cross-correlation of the received signal and the reference signal, or standard deviation of the difference of the received signal and the reference signal, for example. The parameter obtained may then be used to create a reference signal for determination of another parameter.

Abstract: Technologies are provided in embodiments to manage an authentication confirmation score. Embodiments are configured to identify, in absolute session time, a beginning time and an ending time of an interval of an active user session on a client. Embodiments are also configured to determine a first value representing a first subset of a set of prior user sessions, where the prior user sessions of the first subset were active for at least as long as the beginning time. Embodiments can also determine a second value representing a second subset of the set of prior user sessions, where the prior user sessions of the second subset were active for at least as long as the ending time. Embodiments also determine, based on the first and second values, a decay rate for the authentication confidence score of the active user session. In some embodiments, the set is based on context attributes.

Abstract: A system is provided to determine whether to re-authenticate a user based on identification parameter measurements of low power sensors. According to an embodiment of the invention, a system may include a processor that includes analysis logic to determine whether to re-authenticate the user based on parameter values received from at least one of one or more agents. The system may also include authentication logic to re-authenticate the user that includes a confirmation of whether the user is authenticated based on input received from one or more authentication sensors. Other embodiments are described and claimed.