DocumentCode :
3579382
Title :
Cloud-based secure health monitoring: Optimizing fully-homomorphic encryption for streaming algorithms
Author :
Page, Alex ; Kocabas, Ovunc ; Ames, Scott ; Venkitasubramaniam, Muthuramakrishnan ; Soyata, Tolga
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Rochester, Rochester, NY, USA
fYear :
2014
Firstpage :
48
Lastpage :
52
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.
Keywords :
cloud computing; cryptography; data privacy; health care; medical information systems; patient monitoring; FHE-based medical remote monitoring; cloud-based secure health monitoring; datacenters; fully homomorphic encryption; healthcare providers; incentives; medical data off-site processing; parallelism; patient health information privacy; streaming algorithms; Cloud computing; Conferences; Electrocardiography; Encryption; Medical services; Monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Globecom Workshops (GC Wkshps), 2014
Type :
conf
DOI :
10.1109/GLOCOMW.2014.7063384
Filename :
7063384
Link To Document :
بازگشت