According to one embodiment, a data processing system performs a secure boot using a security module (e.g., a trusted platform module (TPM)) of a host system. The system verifies that an operating system (OS) and one or more drivers including an accelerator driver associated with a data processing (DP) accelerator is provided by a trusted source. The system launches the accelerator driver within the OS. The system generates a trusted execution environment (TEE) associated with one or more processors of the host system. The system launches an application and a runtime library within the TEE, where the application communicates with the DP accelerator via the runtime library and the accelerator driver.

The present disclosure describes exemplary methods and systems that are applicable for hardware authentication, counterfeit detection, and in-field tamper detection in both printed circuit board and/or integrated circuit levels by utilizing random variations in boundary-scan path delay and/or current in the industry-standard JTAG-based design-for-test structure to generate unique device identifiers.

The present disclosure describes exemplary methods and systems that are applicable for hardware authentication, counterfeit detection, and in-field tamper detection in both printed circuit board and/or integrated circuit levels by utilizing random variations in boundary-scan path delay and/or current in the industry-standard JTAG-based design-for-test structure to generate unique device identifiers.

Technologies for composing a managed node with multiple processors on multiple compute sleds to cooperatively execute a workload include a memory, one or more processors connected to the memory, and an accelerator. The accelerator further includes a coherence logic unit that is configured to receive a node configuration request to execute a workload. The node configuration request identifies the compute sled and a second compute sled to be included in a managed node. The coherence logic unit is further configured to modify a portion of local working data associated with the workload on the compute sled in the memory with the one or more processors of the compute sled, determine coherence data indicative of the modification made by the one or more processors of the compute sled to the local working data in the memory, and send the coherence data to the second compute sled of the managed node.

In embodiments, a system includes a first and a second processing unit, a memory, and a firewall device. The first processing unit operates in a secure mode and generates memory access requests having a secure level. The second processing unit operates in a non-secure mode and generates memory access requests having a non-secure level. The memory includes a first memory area that can be shared between the first and second processing units. The firewall device includes a first firewall circuit with a first configuration authorizing access to the first memory area in the presence of a secure or non-secure level access request. The firewall circuit includes a second configuration prohibiting access to the first memory area in the presence of a secure level access request and authorizing access to the first memory area only in the presence of a non-secure level access request.

Systems, methods, and computer-readable media for assessing reliability and trustworthiness of devices across domains. Attestation information for an attester node in a first domain is received at a verifier gateway in the first domain. The attestation information is translated at the verifier gateway into translated attestation information for a second domain. Specifically, the attestation information is translated into translated attested information for a second domain that is a different administrative domain from the first domain. The translated attestation information can be provided to a verifier in the second domain. The verifier can be configured to verify the trustworthiness of the attester node for a relying node in the second domain by identifying a level of trust of the attester node based on the translated attestation information.

Methods and systems for continuously and quantitatively assessing the risk to data confidentiality, integrity, and availability on identified on endpoints, servers, medical devices, and “Internet of things” devices in a networked healthcare environment monitor resource requests by user applications running on the various device. A map of resource usage by each application may be generated. Based on the map and a risk model (e.g., the contents of a risk database), application events associated with risks are detected and resources vulnerable to the risk may be identified.

Methods and systems for continuously and quantitatively assessing the risk to data confidentiality, integrity, and availability on identified on endpoints, servers, medical devices, and “Internet of things” devices in a networked healthcare environment monitor resource requests by user applications running on the various device. A map of resource usage by each application may be generated. Based on the map and a risk model (e.g., the contents of a risk database), application events associated with risks are detected and resources vulnerable to the risk may be identified.

An approach is provided to manage in-flight drones. The approach identifies a drone at a drone charging station with the identified drone being unauthorized to be at the drone charging station. Responsively, the approach then secures the identified drone and removes the identified drone from the drone charging station.

An approach is provided to manage in-flight drones. The approach identifies a drone at a drone charging station with the identified drone being unauthorized to be at the drone charging station. Responsively, the approach then secures the identified drone and removes the identified drone from the drone charging station.