IRJET- A Review on Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 11 | Nov 2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 711
A Review on Lightweight Secure Data Sharing Scheme for Mobile Cloud
Computing
Heena Kausar Sharpyade1, Mujamil Dakhani2, SaimaRafat Bhandari3
1,3Student, Dept. of Computer Science and Engineering, Karnataka, India
2Asst. Professor, Dept. of Computer Science and Engineering, Karnataka, India
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Abstract - As the increasing usage of the cloud computing
has even mobile devices a new scope to retrieve and store the
personal data from anywhere at any time. Due to increases in
the data it has caused the data security problem over the
mobile computing. There are lots of studies that have used to
secure the cloud but most of them have the limitation for the
mobile devices. The solution should be provided withthelower
computational overhead. In this paper, the review on
lightweight secure data sharing scheme (LDSS) for mobile
cloud computing. For providing the satisfactory performance,
it is important to use the resources provided by the cloud
service provider (CSP) to store and share the data.
Key Words: Cloud computing, Data Security, LDSS, CSP.
1. INTRODUCTION
With increasing of the cloud storage and more usage of
mobile has increased the data sharing model which have
been used for the data retroviral and storage. Astheusage of
cloud have been increased widely, due to limitation of
mobile storage. The cloud have more amount of storage and
resources which is provide by the cloud service provider to
store and share the data. The cloud mobile applicationssuch
as upload of photos, videos, documents and other files tothe
cloud and these files can be used to share with other users.
Management functionality is also provided by the cloud
service provider, but the personal information is important
and it should be not shared in publically. It is important to
provide the data privacy and the data security which is the
major concern. The control mechanism provided by the
cloud service provider is not sufficient as it does not meet
the requirement of the data owner, the first and far most
problem is whenever the user uploadsthefilesoncloudthen
the cloud service provider may spy on the file for its use
which cause the privacy problem later the user want tosend
the password for the encrypted files to unlock it. To
overcome these problem data owner have to divide the data
user into different user according to the user who want to
share their password to the particular group. Password
management is a great issue for the security.
2. PROBLEM DEFINITION
2.1 Problem Statement
 To provide security in lightweight manner resource
mobile devices in cloud environment
 To have light weight revocation policy.
 The encrypted and decrypted data should be secure
using secret key.
 The sharing of the file should be among the authorized
users who have the access privileges.
 There should also have the opportunity to decrease the
overhead of the cryptographic standard algorithm and
research the security schemes with low over head.
2.2 Proposed System
The proposed system is a Lightweight Data Sharing
Scheme (LDSS) for mobile cloud computing environment.
The main contributions of LDSS are as follows:
 It uses the designed algorithm called LDSS-CP-ABE
based Attribute-based Encryption (AES) usedforaccess
control over ciphertext efficiently.
 Here the proxy servers are used for encryption and
decryption methods. ABE is used for the computational
intensive operations for conducting on the proxy
servers, which help in reducing the computational
overhead on the client side of the mobile devices. There
is also maintaining of the data privacy using LDSS-CP-
ABE. The modified version of decryption key is sent in
secure manner to the proxy servers.
 To deal with user’s revocation problem the lazy re-
encryption and decryption field of attributes are
introduced
 Lastly, to have a data sharing framework prototype
based on LDSS.
Advantages of proposed system:
 LDSS has reduces the over head at the client side due
which it has reduce the additional costattheserverside.
 These approaches have increased the security of the
data sharing on mobile devices.
 LDSS has the better performances results based on
access control schemes over ciphertext compared to
exiting ABE.
 The overhead is reduced when the multiple revocation
operations are merged as one.
 The data storage overhead is small.
3. LITERATURE SURVEY
To study and analyze more about lightweight secure data
sharing scheme (LDSS) for mobile cloud computing, the
following literature survey has been done.

In [1] the author present an efficient fully homomorphic
encryption scheme that is based on the standard learning
with errors(LWE)assumption. Byapplyingtheresultswhich
are been known on learning with errors, here the worst case
been used for the security hardness problems of the short
vector. Here the improvement is done onthepreviousworks
on two aspects firstly the previous complexity assumption
scheme related to deals in various rings are replaced by the
homomorphic encryption based on learningwitherrorusing
a new re- linearization technique. And secondly the
squashing paradigm is introduced based on previous works.
There is also new dimensionmodulus reductiontechniqueto
reduces decryption complexity.
In [2] authors presents the data leakage mitigation for
discretionary access control in collaboration cloud. The
systems to Software as a Service (SaaS) applications is been
collaborated as the usage of the cloud computing has
increased.SaaScollaborationhasmorenumberofadvantages
but it has some security issues. As the SaaS collaboration is
increased there is chance of leakage of the information while
sharing to the intruders. There is proposing to mitigate the
data leakage problem in SaaS collaboration systems by
reducing human errors. There can be series of mechanismto
reduces the leakage of the data by allowing the entropies to
encodes their organisational security rules mandatory to
access the sharing decisions, by prioritizing the potential
recipients of the users files to reduces the error and to
examines the abnormal recipients.
In [3] the authors speak about the implementing deniable
storage encryption for mobile devices. Data confidentialityis
the one of the most important accept and it can use by
encryption. As providing encryption will cover the user
information and by using the keys. The data is been hidden
so that it cannot be read by the intruders. To solve specific
problems, by using Steganographic techniques and deniable
encryptionalgorithms. Afterevaluatingexistinganddiscover
new, there are some challenges that are comprised plausibly
deniable encryption (PDE) in mobile environment. To solve
these problems a new system is been designed called
Mobiflage that enables PDE on mobile devices for hiding
encrypted volumes for the external storage.
In [4] authors present a secure and efficient access to
outsourced data in. The main aspect is to provide security
and efficient access to large scale outsourced data. Here the
new mechanism to solve the problem of owner-write-users-
read application is introduced. To efficiently achieve the
flexible cryptography based access control is done by using
encryption to every block ofdata by using different keys. But
to use the key derivation methods the owner needs to have
somesecrets.Usinghashfunctionsforanalysiskeyderivation
will reduces the computational overhead. And also getting
the access to updated data blocks can be done by using over
encryption and/or lazy revocation.
In [5] the authors present the attribute base fine grained
access control with efficient revocation in cloud storage
system. Here the users are allowed to store the data to the
cloud and also provides for data to be used in the cloud
storage. As the cloud server and the data owners are not in
the sametrust domain, so there cannot be semi trustedcloud
server to rely on the access policy. To solve the challenges,
traditional methods are been used where the data is been
encrypted and send with the decryption keys to authorised
users. This traditional method has the high overhead and
complicated key management. Toovercomethesechallenges
a new design is used to access control framework for the
cloud storage systems by Ciphertext-policy Attribute- based
Encryption(CP-ABE) approach.
4. METHODOLOGY
The LDSS framework for lightweight data sharing schemein
mobile cloud is shown in Fig. 4.1. It has the following three
components:
 Data Owner (DO): Data Owner is usedtouploadthedata
to the mobile cloud and share it with other users. DO
determine the access control policies.
 Data User (DU): Data User is used to retrieves data from
the mobile cloud.
 Trust Authority (TA): Trust Authority is responsible for
generating and distributing attribute keys.
As shown in Fig. 4.1, a Data Owner sends data to the cloud.
Since the cloud is not trustworthy, so data has to be
encrypted before it is uploaded. The Data Owner access the
control tree on the data files to assign whichattributesadata
user to obtain the certain data files though access control
policy. The data files in the LDSS are encrypted in the
symmetric order and the symmetric keys of the data
encryption is done using Attribute Based Encryption(ABE).
The symmetric key, access control policy is embedded with
ciphertext. The data user who has authority can access
control policy which is encrypted these can bedecryptedand
the symmetric key can be retrieve.
Fig -4.1: A lightweight data-sharing scheme (LDSS)
framework
5. RESULT AND CONCLUSIONS
It uses the LDSS which provide the data privacy in the
mobile cloud and also reduces the overhead of mobile cloud
on user’s side. It has the login page for the data user, data
owner and the trust authority as shown in Fig 2. There are
the registration forms for the data owner and the data user
as shown in Fig 3. There is home page for data user, data
owner and trust authority as shown in Fig 4. Depending on
particular user the following page pop up as shown in Fig 5.

In data owner the file is uploaded and sends for the
encryption as shown in Fig 6 and 7. Then it is send to the
cloud for upload of the file as shown in Fig 8. Later the
uploaded files can be seen in the data owner page as shown
in Fig 9. On clicking view cloud files and verifies attributesin
data user page as shown in Fig 10. Then on clicking on
decryption as shown in Fig 11, the file can be downloaded as
shown in Fig 12. Verify user attributes is checked on trust
authority page as shown in Fig 13. The view owner in trust
authority page is shown in the Fig 14.
Fig -2: Login page for Data User, Data Owner and Trust
Authority
Fig -3: Signup Page for data user and data owner
Fig -4: Home page
Fig -5: File uploads in Data owner
Fig -6: After clicking on send files for encryption in data
owner page
Fig -7: After Clicking on upload files to Cloud in data
owner page
Fig -8: After clicking on uploaded files in data owner page
Fig -9: After clicking on view cloud files and verify
attributes in data user page
Fig -10: After clicking on decrypt file in data user page

Fig -11: Once we click decrypt file button from the list in
data user page
Fig -12: Clicking on download link in data user page
Fig -13: After clicking on verify user attributes in trust
authority page
Fig -14: After clicking on view owner in trust authority
page
REFERENCES
[1] Brakerski Z, Vaikuntanathan V. Efficient fully
homomorphic encryption from (standard) LWE. in:
Proceeding of IEEE Symposium on Foundations of
Computer Science. California, USA: IEEE press, pp. 97-
106, Oct. 2011.
[2] Qihua Wang, Hongxia Jin. "Data leakage mitigation for
discertionary accesscontrol incollaborationclouds".the
16th ACM Symposium on Access Control Models and
Technologies (SACMAT), pp.103-122, Jun. 2011.
[3] Adam Skillen and Mohammad Mannan. On
Implementing Deniable Storage Encryption for Mobile
Devices. the 20th Annual Network and Distributed
System Security Symposium (NDSS), Feb. 2013.
[4] Wang W, Li Z, Owens R, et al. Secure and efficient access
to outsourced data. in: Proceedings of the 2009 ACM
workshop on Cloud computing security. Chicago, USA:
ACM pp. 55-66, 2009.
[5] Junzuo Lai, Robert H. Deng ,Yingjiu Li ,et al. Fully secure
key-policy attribute-based encryption with constant-
size ciphertexts and fast decryption. In: Proceedings of
the 9th ACM symposium on Information, Computer and
Communications Security (ASIACCS), pp. 239-248, Jun.
2014.
[6] Gentry C, Halevi S. Implementing gentry’s fully-
homomorphic encryption scheme. in: Advances in
Cryptology–EUROCRYPT 2011. Berlin, Heidelberg:
Springer press, pp. 129-148, 2011.
[7] Kan Yang, Xiaohua Jia, Kui Ren, Ruitao Xie, Liusheng
Huang: Enabling efficient access control with dynamic
policy updating for big data in the cloud. INFOCOM
2014, pp.2013-2021, 2014.
[8] Benjamin Livshits, JaeyeonJung.AutomaticMediationof
Privacy-Sensitive Resource Access in Smartphone
Applications. USENIX Security, pp.113-130, Aug. 2013.
[9] Kan Yang, Xiaohua Jia, Kui Ren, Bo Zhang, Ruitao Xie:
DAC-MACS: Effective Data Access Control for
Multiauthority Cloud Storage Systems. IEEE
Transactions onInformation ForensicsandSecurity,Vol.
8, No. 11, pp.1790-1801, 2013.

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