Cloud-based secure health monitoring: Optimizing fully-homomorphic encryption for streaming algorithms

A. Page, Övünç Kocabas, Scott Ames, Muthuramakrishnan Venkitasubramaniam, T. Soyata
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引用次数: 42

Abstract

There are many incentives for healthcare providers to shift their datacenters to the cloud. However, privacy of patient health information is a major concern when processing medical data off-site. One possible solution is the use of Fully Homomorphic Encryption (FHE), but this solution is too slow for most applications. We present a technique that increases efficiency and parallelism for certain algorithms under FHE. Through simulations, we demonstrate that our method yields about 20x speedup in a sample application. This is a significant step towards practical FHE-based medical remote monitoring.
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基于云的安全运行状况监控:优化流算法的全同态加密
医疗保健提供商将其数据中心转移到云上有许多激励措施。然而,在异地处理医疗数据时,患者健康信息的隐私是一个主要问题。一种可能的解决方案是使用完全同态加密(Fully Homomorphic Encryption, FHE),但这种解决方案对于大多数应用程序来说太慢了。我们提出了一种提高FHE下某些算法的效率和并行性的技术。通过模拟,我们证明了我们的方法在一个示例应用程序中产生了大约20倍的加速。这是迈向实用的基于fhe的医疗远程监测的重要一步。
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