Abstract: Examples of techniques for determining security access based on user behavioral measurements are disclosed. In accordance with aspects of the present disclosure, a computer-implemented method is provided. The method may comprise performing a trust evaluation to calculate a trust penalty value for a user based on a plurality of measured user attributes. The method may further comprise determining, by a processing device, a security access level based on a predefined trust threshold and the trust penalty value for the user. The method may also comprise applying the security access level to the user.

Abstract: Transferring a set of elements between devices is provided. A set of rules governing a transfer of the set of elements from a sending client device to a receiving client device is received. The set of elements for the transfer is received from the sending client device. It is determined whether the set of rules governing the transfer of the set of elements from the sending client device to the receiving client device are met. In response to determining that the set of rules governing the transfer of the set of elements from the sending client device to the receiving client device are met, the set of elements is transferred to the receiving client device.

Abstract: A wearable computing device receives user preferences, wherein the user preferences include information detailing one or more types of information to display based on one or more criteria being satisfied. The wearable computing device determines information to display on the wearable computing device based on the user preferences. The wearable computing device displays the determined information.

Abstract: Examples of techniques for determining security access based on user behavioral measurements are disclosed. In accordance with aspects of the present disclosure, a computer-implemented method is provided. The method may comprise performing a trust evaluation to calculate a trust penalty value for a user based on a plurality of measured user attributes. The method may further comprise determining, by a processing device, a security access level based on a predefined trust threshold and the trust penalty value for the user. The method may also comprise applying the security access level to the user.

Abstract: Examples of techniques for determining security access based on user behavioral measurements are disclosed. In accordance with aspects of the present disclosure, a computer-implemented method is provided. The method may comprise performing a trust evaluation to calculate a trust penalty value for a user based on a plurality of measured user attributes. The method may further comprise determining, by a processing device, a security access level based on a predefined trust threshold and the trust penalty value for the user. The method may also comprise applying the security access level to the user.

Abstract: Transferring a set of elements between devices is provided. A set of rules governing a transfer of the set of elements from a sending client device to a receiving client device is received. The set of elements for the transfer is received from the sending client device. It is determined whether the set of rules governing the transfer of the set of elements from the sending client device to the receiving client device are met. In response to determining that the set of rules governing the transfer of the set of elements from the sending client device to the receiving client device are met, the set of elements is transferred to the receiving client device.

Abstract: A wearable computing device receives user preferences, wherein the user preferences include information detailing one or more types of information to display based on one or more criteria being satisfied. The wearable computing device determines information to display on the wearable computing device based on the user preferences. The wearable computing device displays the determined information.

Abstract: A wearable computing device receives user preferences, wherein the user preferences include information detailing one or more types of information to display based on one or more criteria being satisfied. The wearable computing device determines information to display on the wearable computing device based on the user preferences. The wearable computing device displays the determined information.

Abstract: Examples of techniques for determining security access based on user behavioral measurements are disclosed. In accordance with aspects of the present disclosure, a computer-implemented method is provided. The method may comprise performing a trust evaluation to calculate a trust penalty value for a user based on a plurality of measured user attributes. The method may further comprise determining, by a processing device, a security access level based on a predefined trust threshold and the trust penalty value for the user. The method may also comprise applying the security access level to the user.

Abstract: A computer-implemented method for managing an authentication policy for a user on a network of an organization includes determining at least one social media attribute of the user, and a social media risk value is assigned based on the at least one social media attribute of the user. The method further includes determining at least one network activity risk attribute of the user, and a network activity risk score is assigned based on the at least one network activity risk attribute. A current risk assessment score of the user is calculated based on the social media risk value and the network activity risk value. An authentication policy for the user is determined based on the current risk assessment score.

Abstract: An approach for authenticating a device is provided. The approach includes a computer implemented method for receiving a first stage biometric variable verification data for accessing the device. The approach further includes a computer-implemented method for computing a second stage binary authentication data for accessing the device. The approach further includes analyzing the received first stage biometric variable verification data and the second stage binary authentication data. The approach further includes receiving the second binary authentication data for accessing the device.

Abstract: A wearable computing device receives user preferences, wherein the user preferences include information detailing one or more types of information to display based on one or more criteria being satisfied. The wearable computing device determines information to display on the wearable computing device based on the user preferences. The wearable computing device displays the determined information.

Abstract: A wearable computing device receives user preferences, wherein the user preferences include information detailing one or more types of information to display based on one or more criteria being satisfied. The wearable computing device determines information to display on the wearable computing device based on the user preferences. The wearable computing device displays the determined information.

Abstract: A wearable computing device receives user preferences, wherein the user preferences include information detailing one or more types of information to display based on one or more criteria being satisfied. The wearable computing device determines information to display on the wearable computing device based on the user preferences. The wearable computing device displays the determined information.

Abstract: A wearable computing device receives user preferences, wherein the user preferences include information detailing one or more types of information to display based on one or more criteria being satisfied. The wearable computing device determines information to display on the wearable computing device based on the user preferences. The wearable computing device displays the determined information.

Abstract: A wearable computing device receives user preferences, wherein the user preferences include information detailing one or more types of information to display based on one or more criteria being satisfied. The wearable computing device determines information to display on the wearable computing device based on the user preferences. The wearable computing device displays the determined information.

Abstract: A computer-implemented method for managing an authentication policy for a user on a network of an organization includes determining at least one social media attribute of the user, and a social media risk value is assigned based on the at least one social media attribute of the user. The method further includes determining at least one network activity risk attribute of the user, and a network activity risk score is assigned based on the at least one network activity risk attribute. A current risk assessment score of the user is calculated based on the social media risk value and the network activity risk value. An authentication policy for the user is determined based on the current risk assessment score.

Abstract: An approach for authenticating a device is provided. The approach includes a computer implemented method for receiving a first stage biometric variable verification data for accessing the device. The approach further includes a computer-implemented method for computing a second stage binary authentication data for accessing the device. The approach further includes analyzing the received first stage biometric variable verification data and the second stage binary authentication data. The approach further includes receiving the second binary authentication data for accessing the device.

Abstract: Embodiments relate to managing authentication policies for users on a network of an organization. A computer-implemented method for managing an authentication policy for a user on a network of an organization is provided. The method maintains a current risk assessment score of the user based on an organizational role of the user within the organization and a history of security violations on the network. The method determines the authentication policy for the user based on the current risk assessment score.

Abstract: Embodiments relate to managing authentication policies for users on a network of an organization. A computer-implemented method for managing an authentication policy for a user on a network of an organization is provided. The method maintains a current risk assessment score of the user based on an organizational role of the user within the organization and a history of security violations on the network. The method determines the authentication policy for the user based on the current risk assessment score.