Abstract: The storage of
the data is the matter of concern for the most of business enterprises due to
the high cost of managing and maintaining the high end service and storage facilities.
Improving security of  cloud environment
in general and cloud storage in particular has become absolutely essential .In
an effort to address the array of security 
and authentication issue in the cloud environment, the use of biometric
parameter –based security mechanism are exponentially increasing. Along with these
Cryptographic algorithms and security protocol are also in completion of
security modeling.

The
question that suddenly arise  in the
cloud computing are what sort of database, operating system or data center is
acquired by  organization in there cloud
environment .One of the major challenge in providing security is that the
security professional are  sometime not
clear  what they are doping or what they
should conceivably think off or what are the actual security requirement of
that particular organization. This motivates me to take the survey of Security
issues and algorithm in the cloud storage.

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This
paper  includes the discussion  about the various system, Algorithms and the
reviews  of researchers  to highlight the usefulness of cloud storage
for the business .The issue related to security and possible solutions  for ensuring the security of data has  also been discussed which giving sufficient
idea of domain.

Introduction:

 Most demanding  topic 
in  researcher community   is
cloud computing .In the  former, an
important research topic relies on the 
provision of efficient secure scheme that consume the least  computational resources possible and prevent
denial of service .after that issue arise from the fact that the data is not
hosted in user or organization dependencies. Thus there are different deployment
model posing different challenges related to regulation, security and privacy.
Many cloud data auditing algorithms have been proposed to maintain the
integrity and privacy of data held in the cloud This paper addresses  the security concerns regarding the adaptation
of  emerging cloud technology by  organizations.

Algorithms  in this paper 
mainly focus on  improved methods
and algorithms to protect the cloud data.

A
precise survey of researcher’s issue on cloud computing challenges over the
past decades helps to understand the existing problems, background knowledge,
current solutions and proposed solutions. In this paper we deals with researcher’s
comparison through literature review. Over the years, there have been many research
papers to verify cloud data. Some of the researchers attempted to propose cloud
auditing protocols to safe the guard cloud data. One such example is cloud
security Alliance.

 

Literature survey:

To explore the available knowledge
on the area of cloud computing and confidentiality, a literature review is
conducted using a systematic approach. Figure 1 shows the brief idea of literature
review for problem definition and designing a model. The role of a literature
review is-

 

Ø  To understand the current state of knowledge in a
research area.

Ø  What is known/generally accepted?

Ø  What questions remain unanswered?

Ø  Where do conflicting results exist?

Ø  To show how the current research project is linked
to previous research (cumulative tradition) .

Ø  To summarize and synthesize previous research.

Ø  To critically analyze previous research: strengths
and weaknesses.

Ø  To learn from others and stimulate ideas.

Figure
1:Work Flow

RSA
based secure and efficient signcryption scheme is constructed by Jayprakash kar
4 . In his algorithm communication overhead is the length of redundant bit. He
concludes that RSA takes sub- exponential time to solve. Maintaining a secure
cloud data  is a complicated job. Two newly
invented algorithms MIST and Malachi by 5 ,are  able to 
protect the user’s data  from
issues in the cloud system.  Benefit  of Side Channel Leakage
 protection  is enhanced by MIST Approach and it also
helps in account recovery security issue. Shikha  Nemaand others6 proposed solution of leading
LDAP protocol. In their approach a combination of Public Key Cryptography,
Single Sign On technology and LDAP directories. However, limitation of this
approach is cost and execution time is not low. On the other hand it is
fruitful for  low information leakage
probability and low security breaking probability concerns.

In
7 by partitioning and merging along with AES algorithm  build a model 
to improve  data storage security
for cloud computing. Partition algorithm helps for easy data storage  with low cost.  A dynamic results obtain  from model is 
time and space reduction is also achieved. loophole  of this system is TPA Third Party
Administrator in involvement . Zhang Danping8, introduces a MR -Apriori  algorithm,  Advantage of this
algorithm   is  that
it helps in reduction of time and it deals with the data mining  hence low  
cost budget is requires. However ,use of this algorithm may
need to require repeated scanning the transaction data set.

9
Proposed a cloud computing security framework for future technology in cloud
computing using the FRS mechanism to improve the data security. Benefit of his
framework is that it gives the protection against cloud data provider. While
comparing with classical model it is most robust and secure against third
party. S. Jegadeeswari et al10,used the neural cryptographic algorithm to
achevie the high confidentiality and security in cloud data. Fragmentation and
dynamic hashing framgmented model algorithm is presented to overcome the
drawbacks of  existing system is that entire
datasets are fragmented, which are not classified into sensitive datasets.

Algorithm
For Improved Security in cloud storage

Benefits

MIST and
Malachi

Benefit  of Side Channel Leakage
 protection  .
Account recovery
security issue.

LDAP and OSSEC

low
information leakage.
low security
breaking probabilities.

Data
Partitioning And Merging /AES

Easy storage
with low cost.

Apriori
algorithm ,Carma model – data mining algorithms
 

Reduces time
consumption
Low cost

fragmentation-redundancy-scattering
(FRS)
 

Intrusion tolerance
Improve data
security.
Protect Data
from CSP(cloud service provider)
Robust

The
neural cryptographic algorithm
 

High Performance
Low cost

 

Refrences

1.      Handbook
of Research on securing cloud base database with biometric.

2.      Architecture
 and protocol for secure information
technology infrastructure.

3.      Cloud
computing data auding algorithm-abdalla alameen

4.      Case
studies in secure computing-edited by Biju Issac,Nauman Israr

5.      J.
LeJeune, C. Tunstall, K. p. Yang and I. Alkadi, “An algorithmic approach
to improving cloud security: The MIST and Malachi algorithms,” 2016
IEEE Aerospace Conference, Big Sky, MT, 2016, pp. 1-7.doi:
10.1109/AERO.2016.7500522

6.      Shikha
Nema et al “An innovative method to improve security in cloud: using LDAP and
OSSEC” IJIRCCE – Vol 2 issue 11,November 14.

7.      Akash
Kanade et al. “Improving cloud Security using data partitioning and encryption
technique”

International Journal of Engineering Research and
General Science Volume 3, Issue 1 , January -February, 2015

8.      Zhang
Danping et al “Apriori Algorithm Research Based on Map -Reduce in Cloud
Computing Environments” The  Open  Automation and Control Systems Journal, 2014, 6,
368-373

9.      Almokhtar
et al. “New Mechanism for  cloud
computing storage security” International Journal of Advanced Computer Science
and Applications,  Vol. 7, No. 7, 2016

10.  S.
Jegadeeswari  et al. “Enhanced data
security  using Neural network in cloud
environment” International Journal of Applied Engineering Research ISSN 0973-4562
Volume 11, Number 1 (2016)pp 278-285