Role Based Access Control Model (RBACM) With Efficient Genetic Algorithm (GA) For Cloud Data Encoding, Encrypting and Forwarding

IDL - International Digital Library Of
Technology & Research
Volume 1, Issue 6, June 2017 Available at: www.dbpublications.org
International e-Journal For Technology And Research-2017
IDL - International Digital Library 1 | P a g e Copyright@IDL-2017
Role Based Access Control Model (RBACM)
With Efficient Genetic Algorithm (GA) For
Cloud Data Encoding, Encrypting and
Forwarding
B.Rex Cyril, DR.S.Britto Ramesh Kumar
Research scholar & Asst.Professor, Asst.Professor,
Deparment of Computer Science, Department of Computer Science,
St.Joseph’s College(Autonomous), St.Joseph’s College(Autonomous),
Tamilnadu, Trichy-620002, Tamilnadu, Trichy-620002,
rexcyrilsjc@gmail.com
Abstract
Cloud computing is one the promising and emerging field
in Information Technology because of its performance, low
cost and great availability. Cloud computing basically
gives services to an individual and the organization
through the network with the capability to scale down or
up their different kinds of services. The basic service of
cloud computing system is known as a cloud storage
system which containing a collection of storage servers.
These storage servers gives long-term storage services by
using the internet with free of cost. However, the storing
data using cloud system of third party causes very serious
problem over data confidentiality. Typically, different
kinds of encryption schemes are used to protect the cloud
data confidentiality, but it take more time to process even
a single operation. Thus, in this paper proposes cloud data
confidentiality by integrates encoding, encrypting and
forwarding. Token Based Data Security Algorithm
(TBDSA) along with RSA and AES is used for decryption
and encryption process and Role Based Access Control
Model (RBACM) is access at the time of data forwarding.
Here, cloud user’s accessing password is created by using
encoding process which is done by Genetic Algorithm
(GA) and process of GA is presented in this paper. This
TBDSA and GA algorithms takes minimum time to
execute and raises the system performance.
Keywords
Token Based Data Security Algorithm, RSA and AES,
Genetic Algorithm, Role Based Access Control Model
1. Introduction
The cloud is a term which is utilized for a virtual
collection of resources and it has wide range of
advantages. These advantages are offered for cloud users to
utilize the availability of vast array of software applications,
looking unlimited storage, to access the lightning fast power
of processing and the ability to effortlessly share information
across the world [1]. Cloud users access all of these
advantages over the internet at any place and any time. Cloud
computing is also allows corporate and consumers structure to
utilize all the cloud application without added any extra effort
for hardware and software installation. Additionally, it offers
personal files sharing process from any computer over the
internet access [2].

Cloud computing becomes a complex infrastructure because
of their hardware, software, storage and processing and which
are available in the form of service [3]. The cloud services are
included basically of application running remotely which is
made data available to all the cloud users.This kind of
technology offers access to a huge volume of advanced super
computers and connected at many locations around globally,
thus offering speed is tens of trillions of computations per
second.
Cloud promises tangible speed to customers and cost saving,
utilizing the technology of cloud, the organization can quickly
employ different kind of applications where contraction and
expansion. This can be achieved with the help of different
kinds of cloud enabler for example grid computing and
virtualization that allow application to be dynamically
employed onto the most appropriate infrastructure at run time.
The basic service of cloud computing system is known as a
cloud storage system which containing a collection of storage
servers. These storage servers gives long-term storage services
by using the internet with free of cost. However there remain
some issues of cloud data security, privacy, portability and
reliability.
However, the storing data using cloud system of third party
causes very serious problem over data confidentiality.
Typically, different kinds of encryption schemes are used to
protect the cloud data confidentiality, but it take more time to
process even a single operation. Thus, in this paper proposes
cloud data confidentiality by integrates encoding, encrypting
and forwarding. Token Based Data Security Algorithm
(TBDSA) along with RSA and AES is used for decryption and
encryption process and Role Based Access Control Model
(RBACM) is access at the time of data forwarding. Here,
cloud user’s accessing password is created by using encoding
process which is done by Genetic Algorithm (GAand process
of GA is presented in this paper. This TBDSA and GA
algorithms takes minimum time to execute and raises the
system performance.
2. Related work
In [4] author proposes a secure computation auditing protocol
(SecCloud) and a privacy cheating discouragement for
achieving privacy. This is a first protocol is used for secure
computation auditing and secure storage in the cloud. This
secures computation process achieved by verifier signature,
probabilistic sampling techniques and batch verification. The
main contribution of this work is to create secure-aware cloud
computing process or SecHDFS. The experimental results
show the promising result in term of cost, security and
efficiency of proposed work.
In [5] author develops a SaaS application to prevent the
leakage of information by giving risk assessment, multifactor
authentication and encryption is done based on the enhanced
elliptic curve cryptography where a cryptographically
generated random number is utilized for make the
unpredictable number, key management, secure disposal of
information, and data integrity. In this work the Google App
Engine is used for deployment process. In this work basically
analysis the cloud security challenges for example account
hijacking, information leakage and denial of service.
In [6] author proposes a cloud data integrity model in the
distributed multi-cloud environment. In this method the
experimental process is done by using prototype application
which shows the proof of concepts. Mainly in this work
concentrated on a cloud security concern such as secure data
storage. Here also consider the virtualization technology
which is used for computer resources has become a reality.
The experimental work shows that the promising results in
term of higher performance in security concern when
compared with other existing solution.
In [7] author constructed a system which comprises of proxy
re-encryption scheme combined with decentralized erasure
code such that a secure storage system. In this proposed
system not only used for robust and secure data, but it also
used for data forwarding and retrieving process. This process
is fully integrates forwarding, encoding and encryption
process. This work suggests and analyzes suitable parameters
for a number of storage servers queried by key server and
number of messages delivered to storage servers.
In [8] author proposes artificial immune algorithm based novel
data security strategy system which is process in architecture
of Hadoop Distributed File System (HDFS). In this work
introduce a new framework such as HDFS which is known as
data security model. This proposed model used for improve
the cloud security process. Additionally, the artificial immune
algorithm related with data security and this algorithm also

termed as dynamic selection algorithm and negative selection
algorithm. The experimental work done by using Cloudsim
platform and the results shows promising results in term of
cloud data security strategy which is depends on the artificial
immune system algorithm.
In [9] author analyzes the characteristics of present cloud
computing process and then develops a comprehensive real-
time network risk evaluation model.This model effectively
used in cloud computing process and this process is based on
the relation between pathogen invasion intensity and artificial
immune systems antibody. In this work considered the Trojan
virus which is used for check the single terminal. The
experimental work evaluate network by using integration
evaluation system. This evaluation work considered the three
kind of layer such as network layer, host layer, and application
layer. The experimental results show this proposed work
enhances the ability of intrusion detection and it can use for
present cloud computer security process.
3. Proposed System
The proposed system has four main entities such as Hybrid
Cloud, Administrator, Role Manager, and Owner. Initially the
setup a hybrid cloud in the process, the administrator is known
as main authority and the authority creates the cloud user’s
username and password for and generates the secret key for
role corresponding role manager, here have to define the role
hierarchy. Manage the given user name and password by using
role manager and the owner is the cloud user who has the
authority to store or upload the cloud data securely in the
cloud system. The users want to decrypt to access the stored
cloud data. The proposed cloud storage and accessing system
is as shown in figure 1.
Figure 1Secure Cloud Storage System with Trust
Management
Hybrid Cloud:
In this proposed system two main cloud frameworks are used
such as private and public cloud. In this integration may
overcome the each other disadvantages. The private cloud will
not be exists from the user, so the user only interact with the
public cloud over the administrator. The administrator will be
permit to access the private cloud.
Administrator:
The main authority of secure cloud storage system is termed
as administrator and the administrator has all the credentials
and system parameters to manage the secure cloud.
Additionally, the administrator adds cloud users and role
manager in the framework and provides fundamental
credentials to access the secure cloud system. The
Cloud Users
User Login
User
Registration
Admin
Upload
RSA+ AES
Download
RSA+ AES
Unique ID Provided
by Cloud Service
Provider to Cloud
User
Register/Login
Again
IF (Success) Else (Fail)
Send request for
data transfer
THEN
Verify Token_ID
before data transfer
Generate One
Time Password
(OTP) using GA
Mobile or MailOTP
Verification
Exit
No
YES
Send on

administrator generates the role hierarchy and specifies the
organization structure according to cloud framework.
Role Manager:
A role manager is used to manage the relationship between
specific roles and cloud users. When updating the user roles,
the role manager required to enter the password given by the
administrator. No one of the cloud users are affected by this
operation, therefore the role managers do not required to
communicate with the cloud users, and they only required to
interact with private cloud. Beforehand a user is involvedinto
a given role and the role manager required authenticating the
cloud user so as to ensure that the user is authorized user.
Owner:
Owner can be a user who has the authority to upload and
encrypt the data in the cloud. The owners particularize who
can access the data rendering to the role based procedures. In
this work the owner manages the relationship between roles
and their permission. Owner performs the encryption process
for that it does not need any password or secret key.
User:
Users are known as general cloud users who have specific
work according to their skills. Every user is authenticated by
the administrator. Users are permitted only for downloading
the secure data based on their assigned roles.
3.1 Data Storage
In this proposed work Role Based Access Control Model
(RBACM) is proposed. Thus, the roles manager assigns the
each role to the cloud user who can work with their
appropriate role. The cloud provider is not able to find the data
which is stored in the form of encrypted data. A role manager
is able to allocate a role for specific user after the data owner
has encrypted the data. A user allocated to specific role can be
revoked at any time, the revoked user have not any access
permission to data. The user revocation will not affect other
cloud users. This work, achieves a great encryption and
decryption process on client side.
In this, initially required to create the cloud user, allocate the
specific roles to the user and this process comprises
subsequent operation. In the proposed work Advanced
Encryption Standard (AES) [10] [11] algorithm utilized for
encrypt the cloud data and the secret key generated by AES is
encrypted by using Rivest-Shamir-Adleman(RSA) algorithm
[12]. When the roles in the proposed framework defined then
the each and every roles have one private key and public key.
The private key is utilized by the cloud user to access the
cloud data from different cloud server. The public key is
utilized by the cloud data owner to encrypt and upload or store
the cloud data in public cloud.
The AES algorithm is high speed algorithm and it needs low
RAM requirements, however here same secret key used for
encryption and decryption process. It faces the main problem
because of key exchange. To overcome this issue, in this work
use RSA algorithm for generating encrypted secret key with
the help of user’s public key.
Figure 2 AES Cipher
Basically, the AES algorithm initiated with Add round key
stage than it will followed by nine rounds of four different
stages and a 10th round of three different stages. Here, the
four different stages are defined as Substitute bytes, Mix
Columns,Shift rows, and Add Round Key. AES working
process is as shown in figure 2. Initially, the nine rounds of
AES decryption process contain Inverse Substitute
bytes,Inverse Shift rows,Inverse Mix Columns andInverse
Add Round Key. Again the 10th
round not executesthe Inverse
Mix Columns stage as same as 9th
round as shown in figure 2.
The RSA algorithm used for measured the encoding and
decoding AES secret key. Let S is defined as the secret key
and C is defined as the cipher key then at encryption is defined
Pre-round Transformation
Round 1
Round 2
Round
KeyExpansion
128 bit plaintext
Round Key (128 bit)
AES
Cipher Key (128,
192, or 256 bits)
𝑁𝑟 Key size
10 128
12 192
14 256
Relationship between
number of rounds and
cipher key size
128 bit Cipher text

𝑎𝑠 𝐶 = 𝑆 𝑚𝑜𝑑 𝑛 as the same time the decryption is defined as
𝑆 = 𝐶 𝑚𝑜𝑑 𝑛. Where n is defined as the very huge prime
number which is generated at the time of key generation
process is shown in Figure 3.
RSA key Generation
RSA
(𝒊𝒏𝒕𝒆𝒈𝒆𝒓 𝒆, 𝒎𝒐𝒅𝒖𝒍𝒖𝒔 𝒏 =
𝒑 ∗ 𝒒, 𝒕𝒘𝒐 𝒍𝒂𝒓𝒈𝒆 𝒑𝒓𝒊𝒎𝒆 𝒏𝒖𝒎𝒃𝒆𝒓𝒔 𝒑 𝒂𝒏𝒅 𝒒)
𝑛is known as the modulus.
𝑒is known as the public exponent.
Step 1:𝑆𝑒𝑙𝑒𝑐𝑡 𝑡𝑤𝑜 𝑝𝑟𝑖𝑚𝑒 𝑛𝑢𝑚𝑏𝑒𝑟𝑠.
Step 2: 𝐶𝑎𝑙𝑐𝑢𝑙𝑎𝑡𝑒 𝑛 = 𝑝 ∗ 𝑞.
Step 3: 𝐶𝑎𝑙𝑐𝑢𝑙𝑎𝑡𝑒 𝑓(𝑛) = (𝑝 − 1)(𝑞 − 1)
Step 4:
𝑆𝑒𝑙𝑒𝑐𝑡 𝑒 𝑠𝑢𝑐𝑕 𝑡𝑕𝑎𝑡 𝑒 𝑖𝑠 𝑑𝑒𝑓𝑖𝑛𝑒𝑑 𝑎𝑠 𝑟𝑒𝑙𝑎𝑡𝑖𝑣𝑒𝑙𝑦 𝑝𝑟𝑖𝑚𝑒 𝑡𝑜 𝑓 𝑛 𝑎𝑛𝑑 ≤
𝑓(𝑛).
Step 5:
𝐷𝑒𝑓𝑖𝑛𝑒 𝑑 𝑠𝑢𝑐𝑕 𝑡𝑕𝑎𝑡 𝑐𝑜𝑛𝑔𝑟𝑢𝑒𝑛𝑡 𝑚𝑜𝑑𝑢𝑙𝑜 1 (𝑚𝑜𝑑 𝑓(𝑛)) 𝑎𝑛𝑑 𝑑 <
𝑓(𝑛).
Step 6: 𝑃𝑢𝑏𝑙𝑖𝑐 𝑘𝑒𝑦 = {𝑒, 𝑛}, 𝑃𝑟𝑖𝑣𝑎𝑡𝑒 𝐾𝑒𝑦 = {𝑑, 𝑛}
Figure 3 RSA Key Generation Process
In this proposed system, the RBACM is utilized for
authentication the users to access appropriate files and
maintain the data integrity and privacy and which is achieved
by using AES and RSA algorithm.
3.2 Data Recovery
In this work the secure data storage is done by using
integration of AES and RSA algorithm and the secure data
recovery processing achieved with the help of Genetic
algorithm. In this proposed work the GA is used for obtaining
data privacy with the help of creating dynamic password.
Basically, the GA is defined as heuristics optimization
algorithm it has four different processes such as Initialization,
Selection, Cross-Over, Mutation and their fitness function is
used for evaluation function.
Initialization:initially select the chromosomes population
then calculate the fitness function for each and every
chromosome. An initial population size is generated randomly
and then then that can also “seeding” the initial population
which means select some initial population from exiting
research.
Selection:After initialization process chromosomes or the
parents are to be choosing for reproduction is select based on
their fitness value.
Crossover:after finding the fitness, select the high fitness
value for next process such as crossover operation. In this
crossover, replace with one highest fitness value to another
highest fitness value if it is greater than that, so here new
offspring should be generated. For example here have two
chromosomes or parents P1 and P2 as:
𝑃1 = 1 0 0 1 0 0 0 1
𝑃2 = 1 1 0 1 1 0 0 0
After crossover the offspring’s are as:
𝑋3 = 1 0 0 1 1 0 0 0
𝑋4 = 1 1 0 1 0 0 0 1.
Mutation:After done the crossover operation, it will move on
the mutation process. In some cases there is not required for
crossover directly go for mutation operation. From the above
example two same generations are produced after that random
bit from one generation is mutated to the produce different
generation.
Suppose here have generation 𝑋3 = 1 0 1 1 0 0 0 and here
required to mutate it 4 𝑎𝑛𝑑 8 𝑏𝑖𝑡 finally here get new
offspring such as 𝑋5 = 1 0 0 0 1 0 0 1
From this process providing data security to user and also
multi cloud transaction process and each time of data
transaction the GA will generate the dynamic One Time
Password (OTP). This dynamic OTP is treating as a single
time transaction so each time of transaction the GA is
automatically created a new password. This password not easy
to crack like static password it is also time based which means
after specific time span the generated OTP is become expired
or invalid. So, the unauthorized user may not use the cloud
data and also the authorized user if wrongly enters the OTP in
three times means the system is automatically logout.
So that the GA done a good job of obtaining dynamic OTP on
each and every request of the cloud user for accessing their
cloud data from different kind of cloud server. By utilizing
GA it will generate optimized random value and this random
value can be utilized as a “password”. Each time the password

will mutate different values, therefore it must be altered which
means it is not reversible. Thus, the security level of cloud
storage is very high and data recovery is also secured by using
obtaining OTP.
As the architecture of proposed system shows cloud security
utilizing OTP by using GA in figure 1. Initially Admin upload
the data on cloud so that each and every register cloud user
can access the cloud data with using their specific role. For
accessing data user required to do two important processes
such as user registration and submission of OTP. From the
architecture registered user want to access the cloud data, the
user must be logged in. After login the user gets their OTP on
mail or mobile and when user gets the OTP they should enter
in the system correctly. If OTP correct the system will permit
for data accessing otherwise the system will ask correct OTP.
The data recovery using GA is as shown in Figure 4.
Data Recovery using Genetic Algorithm
Step 1: When cloud user𝑆𝐸𝑁𝐷 𝑅𝐸𝑄: = 𝑐𝑙𝑜𝑢𝑑 𝑠𝑒𝑟𝑣𝑒𝑟,
THEN NEW ACCOUNT CREATED & CLIENT
REGISTERED.
Step 2: IF cloud
𝑢𝑠𝑒𝑟: = 𝐶𝑂𝑁 𝑇𝐻𝐸𝑁 𝑈𝑁𝐼𝑄𝑈𝐸 𝑇𝑂𝐾𝐸𝑁_𝐼𝐷 is generated on
that “Token” FOR SPECIFIC CLOUD SERVICE.
Steps 3: THEN cloud user
SEND
𝑅𝐸𝑄: =
𝑆𝑇𝑅𝐼𝑁𝐺 𝑇𝐻𝐸𝑁 𝐶𝐻𝐸𝐶𝐾 𝐹𝑂𝑅 𝑇𝐻𝐸 𝑉𝐸𝑅𝐼𝐹𝐼𝐸𝐷 𝑇𝑂𝐾𝐸𝑁_𝐼𝐷
with Data Security.
Step 4:𝐼𝐹 (𝑇𝑂𝐾𝐸𝑁_𝐼𝐷: = 𝐶𝑂𝑅𝑅𝐸𝐶𝑇)
{
Authenticated user.
}
ELSE
{
Intruder (Fake user).
}
Step 5:𝐼𝐹 𝑇𝑜𝑘𝑒𝑛_𝐼𝐷 does 𝑛𝑜𝑡 𝑀𝐴𝑇𝐶𝐻 with the database
entry for a specific cloud service that indicated existence of
𝐼𝑁𝑇𝑅𝑈𝐷𝐸𝑅 𝐴𝑁𝐷 𝑅𝐸𝑃𝐸𝐴𝑇 𝑆𝑇𝐸𝑃 1 𝑇𝑂 4.O
Otherwise Data transferred through Secure Channel and
𝑅𝐸𝐶𝐸𝐼𝑉𝐸 𝐴𝐶𝐾.
Step 6:Verify the 𝑇𝑂𝐾𝐸𝑁_𝐼𝐷 before transfer the data
Step 7: Generate the one time password by using the
Genetic Algorithm
Step 8: send the generated password to could user’s mobile
or mail
Step 9:REPEATSTEP 4 TO 5
Figure 4 Data Recovery Process
4. Results and discussion
Different kind of methods are utilized to employing RBACM
and encryption and decryption processes to cloud secure
storage system such as Anonymous HIBE [14],HDFS with
AIS [8] and these algorithm are compared with proposed
system such as RBACM with GA. In this work successful
done in Netbeans JAVA version 7.0 as a frontend and backend
is used as DERBY database.
In figure 5 shows the comparison of communication
complexity in three different algorithms such asAnonymous
HIBE,HDFS with AIS and proposed RBACM with GA. From
the figure 6 results can see that the communication cost
riseswhen the data block size increases, but in the proposed
system shows promising results in term of communication
cost when compared with other two algorithms such as
Anonymous HIBE,HDFS with AIS.
Figure 5 Communication Cost
Figure 6 shows that the comparison results in term of
execution timewith three different algorithms such assuch

asAnonymous HIBE,HDFS with AIS and proposed RBACM
with GA. Here the execution time is treated as both encryption
and decryption time. From the figure 6 results, here conclude
that the proposed system shows the promising results in term
of encryption time and decryption time which means whole
execution time when compared with other two algorithms
such as Anonymous HIBE,HDFS with AIS. The proposed
algorithm shows the minimum execution time.
Figure 6 Execution Time
Figure 7 User request /Load
Figure 7 shows that the comparison results in term of User
request /Load by using three different algorithms such assuch
asAnonymous HIBE,HDFS with AIS and proposed RBACM
with GA. Here the user request is treated as both uploading
and downloading processes. From the figure 6 results, here
conclude that the proposed system shows the promising results
in term of both uploading and downloading processes when
compared with other two algorithms such as Anonymous
HIBE,HDFS with AIS.
5. Conclusion
In this paper successfully proposes cloud data confidentiality
by integrates encoding, encrypting and forwarding. The
TBDSA along with RSA and AES is used for decryption and
encryption process and Role Based Access Control Model is
access at the time of data forwarding. Here, cloud user’s
accessing password is created by using encoding process
which is done by GA and process of GA is presented in this
paper. This TBDSA and GA algorithms takes minimum time
to execute and raises the system performance. Experimental
results shows that the promising result in term of
Communication Cost, Execution Time and User request
/Load.
References
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Role Based Access Control Model (RBACM) With Efficient Genetic Algorithm (GA) For Cloud Data Encoding, Encrypting and Forwarding

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