ABSTRACT:
In medical cloud computing, a patient can remotely outsource her medical
data to the cloud server. In this case, only authorized doctors are allowed to
access the data since the medical data is highly sensitive. Encrypting the data
before outsourcing is a commonly used approach, where the patient only needs to
send the corresponding encryption key to the authorized doctors. This, however,
significantly limits the usability of outsourced medical data due to the
difficulty of searching over the encrypted data. In this paper, we propose two
Secure and Efficient Dynamic Searchable Symmetric Encryption (SEDSSE) schemes
over medical cloud data. Firstly, we leverage the secure k-Nearest Neighbor
(kNN) and Attribute-Based Encryption (ABE) techniques to propose a dynamic
searchable symmetric encryption scheme, which can achieve two important
security features, i.e., forward privacy and backward privacy which are very
challenging in the area of dynamic searchable symmetric encryption. Then, we
propose an enhanced scheme to solve the key sharing problem which widely exists
in the kNN based searchable encryption scheme. Compared with existing
proposals, our schemes are better in terms of storage, search and updating
complexity. Extensive experiments demonstrate the efficiency of our schemes on
storage overhead, index building, trapdoor generating and query.
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:
Hongwei Li, Member, IEEE, Yi Yang, Student
Member, IEEE, Yuanshun
Dai, Member, IEEE, Shui Yu, Senior
Member, IEEE, and Yong
Xiang, Senior Member, IEEE, “Achieving Secure and Efficient
Dynamic Searchable Symmetric Encryption over Medical Cloud Data”, IEEE
Transactions on Cloud Computing, 2018.