Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI

• URL: http://arxiv.org/abs/2305.17761v1
• Date: Sun, 28 May 2023 16:08:44 GMT
• Title: Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI
• Authors: Naweiluo Zhou, Florent Dufour, Vinzent Bode, Peter Zinterhof, Nicolay J Hammer, Dieter Kranzlm\"uller
• Abstract summary: Cloud computing has become a viable solution for big data analytics and artificial intelligence. Data security in certain fields such as biomedical research remains a major concern when moving to cloud.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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.

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