Enabling Authorized Encrypted Search for Multi-Authority Medical Databases

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Enabling Authorized Encrypted Search for Multi-Authority Medical Databases To buy this project in ONLINE, Contact: Email: jpinfotechprojects@gmail.com, Website: https://www.jpinfotech.org

Enabling Authorized Encrypted Search for Multi-Authority
Medical Databases
ABSTRACT:
E-medical records are sensitive and should be stored in a medical database in
encrypted form. However, simply encrypting these records will eliminate data
utility and interoperability of the existing medical database system because
encrypted records are no longer searchable. Moreover, multiple authorities could
be involved in controlling and sharing the private medical records of clients.
However, authorizing different clients to search and access records originating
from multiple authorities in a secure and scalable manner is a nontrivial matter. To
address the above issues, we propose an authorized searchable encryption scheme
under a multi-authority setting. Specifically, our proposed scheme leverages the
RSA function to enable each authority to limit the search capability of different
clients based on clients’ privileges. To improve scalability, we utilize multi-
authority attribute-based encryption to allow the authorization process to be
performed only once even over policies from multiple authorities. We conduct
rigorous security and cost analysis, and perform experimental evaluations to
demonstrate that the proposed scheme introduces moderate overhead to existing
searchable encryption schemes.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
 System : Pentium Dual Core.

 Hard Disk : 120 GB.
 Monitor : 15’’ LED
 Input Devices : Keyboard, Mouse
 Ram : 1 GB
SOFTWARE REQUIREMENTS:
 Operating system : Windows 7.
 Coding Language : JAVA/J2EE
 Tool : Netbeans 7.2.1
 Database : MYSQL
REFERENCE:
Lei Xu, Shifeng Sun, Xingliang Yuan, Joseph K. Liu, Cong Zuo, Chungen Xu,
“Enabling Authorized Encrypted Search for Multi-Authority Medical Databases”,
IEEE Transactions on Emerging Topics in Computing, 2019.

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