HySec-Flow: Privacy-Preserving Genomic Computing with SGX-based Big-Data Analytics Framework

2021 IEEE 14th International Conference on Cloud Computing (CLOUD)(2021)

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摘要
Trusted execution environments (TEE) such as In-tel's Software Guard Extension (SGX) have been widely studied to boost security and privacy protection for the computation of sensitive data such as human genomics. However, a performance hurdle is often generated by SGX, especially from the small enclave memory. In this paper, we propose a new Hybrid Secured Flow framework (called “HySec-Flow”) for ...
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关键词
Cloud computing,Data analysis,Genomics,Computer architecture,Containers,Partitioning algorithms,Security
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