作者: Alex Page , Ovunc Kocabas , Scott Ames , Muthuramakrishnan Venkitasubramaniam , Tolga Soyata
DOI: 10.1109/GLOCOMW.2014.7063384
关键词: Sample (statistics) 、 Computer network 、 Computer science 、 Speedup 、 Cloud computing 、 Homomorphic encryption 、 Client-side encryption 、 Streaming algorithm
摘要: There are many incentives for healthcare providers to shift their datacenters the cloud. However, privacy of patient health information is a major concern when processing medical data off-site. One possible solution use Fully Homomorphic Encryption (FHE), but this too slow most applications. We present technique that increases efficiency and parallelism certain algorithms under FHE. Through simulations, we demonstrate our method yields about 20x speedup in sample application. This significant step towards practical FHE-based remote monitoring.