Abstract: A system for security health monitoring and attestation of virtual machines in cloud computing systems is provided. The system includes a cloud server having a virtual machine and a hypervisor. The cloud server collects security measurement information and signs and hashes the security measurement information using a cryptography engine. The system also includes an attestation server for receiving the hashed security measurement information from the cloud server. The attestation server also verifies the signature and hash values, and interprets the security measurement information. The attestation server generates an attestation report based on the verification and interpretation of the security measurement information.

Abstract: This invention discloses an auxiliary diagnostic model and an image processing method for detecting acute ischemic stroke. This refers to the technical field of medical image processing. The technical essentials are described as follow: the presented deep-learning model is based on generative adversarial networks (GANs), comprising a generator (G) and a discriminator (D). G is the first three-dimensional convolutional neural network, used to synthesize realistic images from raw data, while D is the second three-dimensional convolutional neural network, used to classify images as real or fake (synthetic). The presented GAN model can learn the mapping relationship from non-enhanced computed tomography (NECT) images to T2-weighted fluid-attenuation inversion recovery (FLAIR) magnetic resonance imaging (MRI), then converting the raw CT to synthetic FLAIR with high sensitivity.

Abstract: A system for security health monitoring and attestation of virtual machines in cloud computing systems is provided. The system includes a cloud server having a virtual machine and a hypervisor. The cloud server collects security measurement information and signs and hashes the security measurement information using a cryptography engine. The system also includes an attestation server for receiving the hashed security measurement information from the cloud server. The attestation server also verifies the signature and hash values, and interprets the security measurement information. The attestation server generates an attestation report based on the verification and interpretation of the security measurement information.

Abstract: A system for security health monitoring and attestation of virtual machines in cloud computing systems is provided. The system includes a cloud server having a virtual machine and a hypervisor. The cloud server collects security measurement information and signs and hashes the security measurement information using a cryptography engine. The system also includes an attestation server for receiving the hashed security measurement information from the cloud server. The attestation server also verifies the signature and hash values, and interprets the security measurement information. The attestation server generates an attestation report based on the verification and interpretation of the security measurement information.

Abstract: A system for security health monitoring and attestation of virtual machines in cloud computing systems is provided. The system includes a cloud server having a virtual machine and a hypervisor. The cloud server collects security measurement information and signs and hashes the security measurement information using a cryptography engine. The system also includes an attestation server for receiving the hashed security measurement information from the cloud server. The attestation server also verifies the signature and hash values, and interprets the security measurement information. The attestation server generates an attestation report based on the verification and interpretation of the security measurement information.

Abstract: A heat dissipation structure of a chip in the field of microelectronics is provided. The heat dissipation structure includes a P-type superlattice layer and an N-type superlattice layer formed over an upper surface of the chip by oxidation isolation. The P-type superlattice and the N-type superlattice are isolated by silicon oxide. Through a contact hole the P-type superlattice is electrically connected to a metal layer that is applied with a low potential in the chip, and a metal layer to be connected with an external power source is formed over the P-type superlattice. Through a contact hole the N-type superlattice is electrically connected to a metal layer that is applied with a high-potential power source in the chip, and a metal layer to be connected with an external power source is formed over the N-type superlattice. The potential of the external power source connected with the P-type superlattice is lower than that of the external power source connected with the N-type superlattice.