用于云上安全图像处理的ARM TrustZone

Tiago Brito, N. Duarte, Nuno Santos
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引用次数: 16

摘要

如今,将存储和处理能力转移到云服务器上是一个日益增长的趋势。这是因为高存储容量和强大的处理器是昂贵的,而云服务提供了更便宜、持续和可靠的解决方案。基于云的解决方案的问题是,服务器可以通过互联网高度访问,因此很容易受到黑客和恶意软件的攻击。在本文中,我们设计并实现了Darkroom,一个利用ARM TrustZone技术的云安全图像处理服务。我们的系统使用户能够在安全的环境中安全地处理图像数据,防止敏感数据暴露给操作系统。我们对系统进行了评估,发现与需要信任整个操作系统的计算机平台相比,我们的解决方案在图像处理方面增加了很小的开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ARM TrustZone for Secure Image Processing on the Cloud
Nowadays, offloading storage and processing capacity to cloud servers is a growing trend. This happens because high storage capacity and powerful processors are expensive, whilst cloud services provide a cheaper, ongoing, and reliable solution. The problem with cloud-based solutions is that servers are highly accessible through the Internet and therefore considerably exposed to hackers and malware. In this paper, we design and implement Darkroom, a secure image processing service for the cloud leveraging ARM TrustZone technology. Our system enables users to securely process image data in a secure environment that prevents exposure of sensitive data to the operating system. We evaluate our system and observe that our solution adds a small overhead to image processing when compared to computer platforms that require the entire operating system to be trusted.
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