机密计算:提升云安全和隐私

Q3 Computer Science
Queue Pub Date : 2023-08-31 DOI:10.1145/3623461
M. Russinovich
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引用次数: 0

摘要

机密计算(CC)通过大幅减少系统的攻击面,从根本上改善了我们的安全态势。虽然传统系统在静止和传输中对数据进行加密,但CC将这种保护扩展到了使用中的数据。它提供了一个新颖的、明确定义的安全边界,在计算过程中隔离可信执行环境中的敏感数据。这意味着可以设计基于最小权限访问原则对数据进行分段的服务,而系统中的所有其他代码只能看到加密数据。至关重要的是,这种隔离植根于新的硬件原语,有效地使云托管基础设施及其管理员无法访问数据。这种方法创造了更具弹性的系统,能够抵御日益复杂的网络威胁,从而以前所未有的方式加强数据保护和主权。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Confidential Computing: Elevating Cloud Security and Privacy
Confidential Computing (CC) fundamentally improves our security posture by drastically reducing the attack surface of systems. While traditional systems encrypt data at rest and in transit, CC extends this protection to data in use. It provides a novel, clearly defined security boundary, isolating sensitive data within trusted execution environments during computation. This means services can be designed that segment data based on least-privilege access principles, while all other code in the system sees only encrypted data. Crucially, the isolation is rooted in novel hardware primitives, effectively rendering even the cloud-hosting infrastructure and its administrators incapable of accessing the data. This approach creates more resilient systems capable of withstanding increasingly sophisticated cyber threats, thereby reinforcing data protection and sovereignty in an unprecedented manner.
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来源期刊
Queue
Queue Computer Science-Computer Science (all)
CiteScore
1.80
自引率
0.00%
发文量
23
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