Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI
Distributed, Parallel, and Cluster Computing
2023-05-30 v1 Artificial Intelligence
Abstract
Cloud computing provisions computer resources at a cost-effective way based on demand. Therefore it has become a viable solution for big data analytics and artificial intelligence which have been widely adopted in various domain science. Data security in certain fields such as biomedical research remains a major concern when moving their workflows to cloud, because cloud environments are generally outsourced which are more exposed to risks. We present a secure cloud architecture and describes how it enables workflow packaging and scheduling while keeping its data, logic and computation secure in transit, in use and at rest.
Keywords
Cite
@article{arxiv.2305.17761,
title = {Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI},
author = {Naweiluo Zhou and Florent Dufour and Vinzent Bode and Peter Zinterhof and Nicolay J Hammer and Dieter Kranzlmüller},
journal= {arXiv preprint arXiv:2305.17761},
year = {2023}
}
Comments
2023 IEEE 16th International Conference on Cloud Computing (IEEE CLOUD), Chicago, Illinois, USA, July 2-8, 2023