Safe Cloud Storage of Medical Information Based on Attribute Encryption
- DOI
- 10.2991/ammsa-18.2018.29How to use a DOI?
- Keywords
- cloud storage; attribute-based encryption; medical information security
- Abstract
Cloud computing has been developing at a rapid speed, playing an important role in many fields, especially in environments like hospitals which produce a lot of data every day and have specific users. Because the security of the information stored in the cloud cannot be guaranteed, we propose a safe cloud storage of medical information based on attribute encryption. This paper focuses on how to apply attribute-based encryption to hospitals' cloud storage environment, and to design the access process of different users in the cloud environment by using attribute encryption. Our goal is to build a scheme based on attribute encryption in which users with different demands can get the information they need in a safe and convenient way from the cloud server. In the scheme, sensitive information of a patient was encrypted locally based on attributes and then uploaded to the cloud server. We divided the users in the scheme into three kinds: the chief doctor, the doctor who is not in charge of the patient and the patient. Different users have a different way to get information stored in the cloud, and the decryption of the sensitive information is also different. For each step in the scheme, we carried out a security analysis to demonstrate the reliability, security and applicability of our scheme.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Boxiang Zhao AU - Liang Hu AU - Yifan Zang AU - Yuxuan Liu AU - Xin Wen AU - Hongtu Li PY - 2018/05 DA - 2018/05 TI - Safe Cloud Storage of Medical Information Based on Attribute Encryption BT - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018) PB - Atlantis Press SP - 140 EP - 144 SN - 1951-6851 UR - https://doi.org/10.2991/ammsa-18.2018.29 DO - 10.2991/ammsa-18.2018.29 ID - Zhao2018/05 ER -