Abstract: Technologies for protocol execution include a command device to broadcast a protocol message to a plurality of computing devices and receive an aggregated status message from an aggregation system. The aggregated status message identifies a success or failure of execution of instructions corresponding with the protocol message by the plurality of computing devices such that each computing device of the plurality of computing devices that failed is uniquely identified and the success of remaining computing devices is aggregated into a single success identifier.

Abstract: Technologies for protocol execution include a command device to broadcast a protocol message to a plurality of computing devices and receive an aggregated status message from an aggregation system. The aggregated status message identifies a success or failure of execution of instructions corresponding with the protocol message by the plurality of computing devices such that each computing device of the plurality of computing devices that failed is uniquely identified and the success of remaining computing devices is aggregated into a single success identifier.

Abstract: Technologies for protocol execution include a command device to broadcast a protocol message to a plurality of computing devices and receive an aggregated status message from an aggregation system. The aggregated status message identifies a success or failure of execution of instructions corresponding with the protocol message by the plurality of computing devices such that each computing device of the plurality of computing devices that failed is uniquely identified and the success of remaining computing devices is aggregated into a single success identifier.

Abstract: Systems, apparatuses, and methods include technology that stores, with a server, a plurality of machine learning models in a first trusted execution environment. The plurality of machine learning models is associated with personal identifiable information. The technology generates, in the first trusted execution environment, a derivative machine learning model based on the plurality of machine learning models, and determines, with the server, that the derivative machine learning model will be transmitted to an approval node over a secure channel.

Abstract: Technologies for protocol execution include a command device to broadcast a protocol message to a plurality of computing devices and receive an aggregated status message from an aggregation system. The aggregated status message identifies a success or failure of execution of instructions corresponding with the protocol message by the plurality of computing devices such that each computing device of the plurality of computing devices that failed is uniquely identified and the success of remaining computing devices is aggregated into a single success identifier.

Abstract: Technologies for protocol execution include a command device to broadcast a protocol message to a plurality of computing devices and receive an aggregated status message from an aggregation system. The aggregated status message identifies a success or failure of execution of instructions corresponding with the protocol message by the plurality of computing devices such that each computing device of the plurality of computing devices that failed is uniquely identified and the success of remaining computing devices is aggregated into a single success identifier.

Abstract: Technologies for protocol execution include a command device to broadcast a protocol message to a plurality of computing devices and receive an aggregated status message from an aggregation system. The aggregated status message identifies a success or failure of execution of instructions corresponding with the protocol message by the plurality of computing devices such that each computing device of the plurality of computing devices that failed is uniquely identified and the success of remaining computing devices is aggregated into a single success identifier.

Abstract: Technologies for protocol execution include a command device to broadcast a protocol message to a plurality of computing devices and receive an aggregated status message from an aggregation system. The aggregated status message identifies a success or failure of execution of instructions corresponding with the protocol message by the plurality of computing devices such that each computing device of the plurality of computing devices that failed is uniquely identified and the success of remaining computing devices is aggregated into a single success identifier.

Abstract: Technologies for protocol execution include a command device to broadcast a protocol message to a plurality of computing devices and receive an aggregated status message from an aggregation system. The aggregated status message identifies a success or failure of execution of instructions corresponding with the protocol message by the plurality of computing devices such that each computing device of the plurality of computing devices that failed is uniquely identified and the success of remaining computing devices is aggregated into a single success identifier.

Abstract: Technologies for protocol execution include a command device to broadcast a protocol message to a plurality of computing devices and receive an aggregated status message from an aggregation system. The aggregated status message identifies a success or failure of execution of instructions corresponding with the protocol message by the plurality of computing devices such that each computing device of the plurality of computing devices that failed is uniquely identified and the success of remaining computing devices is aggregated into a single success identifier.

Abstract: The present disclosure is directed to sealing data using chain of trust key derivation. In at least one embodiment, a chain of trust may be used to derive sealing keys for sealing data on a device. The device may comprise, for example, at least a memory and processor. The processor may be to at least load code modules from the memory. Following the loading of a code module, the processor may further be to measure the code module, determine a sealing key corresponding to the code module, wherein the sealing key is determined based at least on a prior sealing key corresponding to a previously loaded code module and the measurement of the code module, and seal data corresponding to the loaded code module using the sealing key. Since the sealing keys are state dependent, a method for authorized migration of sealed data during software upgrades is also disclosed.

Abstract: The present disclosure is directed to sealing data using chain of trust key derivation. In at least one embodiment, a chain of trust may be used to derive sealing keys for sealing data on a device. The device may comprise, for example, at least a memory and processor. The processor may be to at least load code modules from the memory. Following the loading of a code module, the processor may further be to measure the code module, determine a sealing key corresponding to the code module, wherein the sealing key is determined based at least on a prior sealing key corresponding to a previously loaded code module and the measurement of the code module, and seal data corresponding to the loaded code module using the sealing key. Since the sealing keys are state dependent, a method for authorized migration of sealed data during software upgrades is also disclosed.

Abstract: Technologies for protocol execution include a command device to broadcast a protocol message to a plurality of computing devices and receive an aggregated status message from an aggregation system. The aggregated status message identifies a success or failure of execution of instructions corresponding with the protocol message by the plurality of computing devices such that each computing device of the plurality of computing devices that failed is uniquely identified and the success of remaining computing devices is aggregated into a single success identifier.

Abstract: The present disclosure is directed to sealing data using chain of trust key derivation. In at least one embodiment, a chain of trust may be used to derive sealing keys for sealing data on a device. The device may comprise, for example, at least a memory and processor. The processor may be to at least load code modules from the memory. Following the loading of a code module, the processor may further be to measure the code module, determine a sealing key corresponding to the code module, wherein the sealing key is determined based at least on a prior sealing key corresponding to a previously loaded code module and the measurement of the code module, and seal data corresponding to the loaded code module using the sealing key. Since the sealing keys are state dependent, a method for authorized migration of sealed data during software upgrades is also disclosed.

Abstract: At least one anomaly associated with at least one actual hardware element in a computer system having a plurality of hardware elements is addressed. The anomaly is detected, and, responsive to the detection, a virtualization layer is inserted between (i) an operating system of the computer system, and (ii) the plurality of hardware elements. Hardware emulation and/or selective hardware activation/deactivation are performed on the at least one actual hardware element by the virtualization layer. The insertion of the virtualization layer is accomplished in an on-the-fly manner.

Abstract: A method, system and computer-usable medium are disclosed for controlling the distribution of data. Data stored in a datastore is filtered according to a data release policy to generate filtered data. A data release policy agreement, corresponding to the data release policy, is generated. The filtered data and the data release policy agreement are then provided to an information consumer. The data release policy agreement is then used to enforce the data release policy.

Abstract: The present disclosure is directed to sealing data using chain of trust key derivation. In at least one embodiment, a chain of trust may be used to derive sealing keys for sealing data on a device. The device may comprise, for example, at least a memory and processor. The processor may be to at least load code modules from the memory. Following the loading of a code module, the processor may further be to measure the code module, determine a sealing key corresponding to the code module, wherein the sealing key is determined based at least on a prior sealing key corresponding to a previously loaded code module and the measurement of the code module, and seal data corresponding to the loaded code module using the sealing key. Since the sealing keys are state dependent, a method for authorized migration of sealed data during software upgrades is also disclosed.

Abstract: A method for automated network deployment of cloud services into a network is suggested. The method includes receiving a certain cloud service with a certain resource protection template specifying an isolation policy for isolating zones in the network, receiving certain customer protection parameters specifying customer needs regarding protection in the network, providing security requirements by matching the received resource protection templates and the received customer protection parameters, and automatically deploying the certain cloud service into the network by using the provided security requirements.

Abstract: A method, system and computer-usable medium are disclosed for controlling the distribution of data. Data stored in a datastore is filtered according to a data release policy to generate filtered data. A data release policy agreement, corresponding to the data release policy, is generated. The filtered data and the data release policy agreement are then provided to an information consumer. The data release policy agreement is then used to enforce the data release policy.

Abstract: Systems, apparatus and methods for privacy-protecting integrity attestation of a computing platform. An example method for privacy-protecting integrity attestation of a computing platform (P) has a trusted platform module (TPM}, and comprises the following steps. First, the computing platform (P) receives configuration values (PCRI . . . PCRn). Then, by means of the trusted platform module (TPM}, a configuration value (PCRp) is determined which depends on the configuration of the computing platform (P). In a further step the configuration value (PCRp) is signed by means of the trusted platform module. Finally, in the event that the configuration value (PCRp) is one of the received configuration values (PCRI . . . PCRn), the computing platform (P) proves to a verifier (V) that it knows the signature (sign(PCRp}} on one of the received configuration values (PCRI . . . PCRn).