Intel had 13 patents in blockchain during Q4 2023. Intel Corp’s Q4 2023 patents focus on facilitating provenance audit trails for microservices architectures, sharing private data objects in a trusted execution environment using a distributed ledger, storing data in non-volatile memory integrated into a semiconductor die, scheduling task execution based on interdependencies between resources, and implementing attestation operations for workloads received over a network. These patents showcase Intel’s innovation in enhancing security, performance, and efficiency in computing systems. GlobalData’s report on Intel gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Intel grant share with blockchain as a theme is 38% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Provenance audit trails for microservices architectures (Patent ID: US20230412699A1)
The patent filed by Intel Corp. discloses an apparatus designed to enable provenance audit trails for microservices architectures. The apparatus involves processors that obtain provenance metadata for a microservice from a local blockchain, analyze this data against established policies to detect violations, and generate evaluation metrics based on these violations. The provenance metadata includes details such as the microservice identification, operating state of hardware and software resources, and the sidecar's state during the task.
Furthermore, the apparatus ensures the availability of the local blockchain in a trust broker, incorporates provisioned credentials for the microservice, and utilizes a trusted execution environment (TEE) for generating and encrypting the provenance metadata. The processors are also responsible for decrypting the metadata, applying additive homomorphic encryption, and recording the encrypted provenance data in the local blockchain. The method and system described in the patent aim to enhance the security and compliance aspects of microservices by effectively monitoring and evaluating their operations against predefined policies and standards.
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