ABSTRACT:
Recent years witness the development of cloud computing technology. With
the explosive growth of unstructured data, cloud storage technology gets more
attention and better development. However, in current storage schema, user’s
data is totally stored in cloud servers. In other words, users lose their right
of control on data and face privacy leakage risk. Traditional privacy protection
schemes are usually based on encryption technology, but these kinds of methods
cannot effectively resist attack from the inside of cloud server. In order to
solve this problem, we propose a three-layer storage framework based on fog
computing. The proposed framework can both take full advantage of cloud storage
and protect the privacy of data. Besides, Hash-Solomon code algorithm is
designed to divide data into different parts. Then, we can put a small part of
data in local machine and fog server in order to protect the privacy. Moreover,
based on computational intelligence, this algorithm can compute the
distribution proportion stored in cloud, fog, and local machine, respectively.
Through the theoretical safety analysis and experimental evaluation, the feasibility
of our scheme has been validated, which is really a powerful supplement to
existing cloud storage scheme.
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:
Tian Wang , Jiyuan
Zhou, Xinlei Chen , Guojun
Wang , Anfeng Liu , and Yang Liu, Member,
IEEE, “A Three-Layer
Privacy Preserving Cloud Storage Scheme Based on Computational Intelligence in
Fog Computing”, IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL
INTELLIGENCE, VOL. 2, NO. 1, FEBRUARY 2018.