An Efficient Privacy-preserving Recommender System for e-Healthcare Systems

Danilo Verhaert, Majid Nateghizad, Zekeriya Erkin

Abstract

The significant growth of medical data has necessitated the development of secure health-care recommender systems to assist people with their health-being effectively. Unfortunately, there is still a considerable gap between the performance of secure recommender systems and normal versions. In this work, we develop a privacy-preserving health-care recommendation algorithm to reduce that gap. The main strength of our contribution lies in providing a highly efficient solution, while the sensitive medical data are kept confidential. Our studies show that the runtime of our protocol is 81,5% faster than the existing implementation for small bit-lengths, and even more so for large bit-lengths.

Download


Paper Citation


in Harvard Style

Verhaert D., Nateghizad M. and Erkin Z. (2018). An Efficient Privacy-preserving Recommender System for e-Healthcare Systems.In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2: SECRYPT, ISBN 978-989-758-319-3, pages 188-199. DOI: 10.5220/0006858501880199


in Bibtex Style

@conference{secrypt18,
author={Danilo Verhaert and Majid Nateghizad and Zekeriya Erkin},
title={An Efficient Privacy-preserving Recommender System for e-Healthcare Systems},
booktitle={Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2: SECRYPT,},
year={2018},
pages={188-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006858501880199},
isbn={978-989-758-319-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2: SECRYPT,
TI - An Efficient Privacy-preserving Recommender System for e-Healthcare Systems
SN - 978-989-758-319-3
AU - Verhaert D.
AU - Nateghizad M.
AU - Erkin Z.
PY - 2018
SP - 188
EP - 199
DO - 10.5220/0006858501880199