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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

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, Deparment of Computer Science, St.Joseph’s College(Autonomous), Tamilnadu, Trichy-620002, rexcyrilsjc@gmail.com

Asst.Professor, Department of Computer Science, St.Joseph’s College(Autonomous), Tamilnadu, Trichy-620002,

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

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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].

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International e-Journal For Technology And Research-2017 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 IDL - International Digital Library

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

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International e-Journal For Technology And Research-2017 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.

Admin User Registration Upload Cloud Users

RSA+ AES Download

In [9] author analyzes the characteristics of present cloud computing process and then develops a comprehensive realtime 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.

User Login

RSA+ AES Else (Fail)

IF (Success) Unique ID Provided by Cloud Service Provider to Cloud User

Register/Login Again

THEN Send request for data transfer

Verify Token_ID before data transfer

Generate One Time Password (OTP) using GA

Send on YES

OTP Verification

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.

Mobile or Mail

No Exit

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

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IDL - International Digital Library Of Technology & Research Volume 1, Issue 6, June 2017

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International e-Journal For Technology And Research-2017 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:

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. 128 bit plaintext AES Round Key (128 bit) Pre-round Transformation

Round 1

User:

Round 2

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.

đ?‘ đ?‘&#x; 10 12 14

Key size 128 192 256

Relationship between number of rounds and cipher key size

Round

128 bit Cipher text

Figure 2 AES Cipher

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 IDL - International Digital Library

Cipher Key (128, 192, or 256 bits)

Key Expansion

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.

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.

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

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International e-Journal For Technology And Research-2017 đ?‘Žđ?‘ đ??ś = đ?‘† đ?‘šđ?‘œđ?‘‘ đ?‘› as the same time the decryption is defined as đ?‘† = đ??ś đ?‘šđ?‘œđ?‘‘ đ?‘›. 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.

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 RSA key Generation RSA crossover, replace with one highest fitness value to another (đ?’Šđ?’?đ?’•đ?’†đ?’ˆđ?’†đ?’“ đ?’†, đ?’Žđ?’?đ?’…đ?’–đ?’?đ?’–đ?’” đ?’? = highest fitness value if it is greater than that, so here new đ?’‘ ∗ đ?’’, đ?’•đ?’˜đ?’? đ?’?đ?’‚đ?’“đ?’ˆđ?’† đ?’‘đ?’“đ?’Šđ?’Žđ?’† đ?’?đ?’–đ?’Žđ?’ƒđ?’†đ?’“đ?’” đ?’‘ đ?’‚đ?’?đ?’… đ?’’) offspring should be generated. For example here have two đ?‘›is known as the modulus. chromosomes or parents P1 and P2 as: đ?‘’is known as the public exponent. đ?‘ƒ1 = 1 0 0 1 0 0 0 1 Step 1:đ?‘†đ?‘’đ?‘™đ?‘’đ?‘?đ?‘Ą đ?‘Ąđ?‘¤đ?‘œ đ?‘?đ?‘&#x;đ?‘–đ?‘šđ?‘’ đ?‘›đ?‘˘đ?‘šđ?‘?đ?‘’đ?‘&#x;đ?‘ . Step 2: đ??śđ?‘Žđ?‘™đ?‘?đ?‘˘đ?‘™đ?‘Žđ?‘Ąđ?‘’ đ?‘› = đ?‘? ∗ đ?‘ž. đ?‘ƒ2 = 1 1 0 1 1 0 0 0 Step 3: đ??śđ?‘Žđ?‘™đ?‘?đ?‘˘đ?‘™đ?‘Žđ?‘Ąđ?‘’ đ?‘“(đ?‘›) = (đ?‘? − 1)(đ?‘ž − 1) Step 4: After crossover the offspring’s are as: đ?‘†đ?‘’đ?‘™đ?‘’đ?‘?đ?‘Ą đ?‘’ đ?‘ đ?‘˘đ?‘?đ?‘• đ?‘Ąđ?‘•đ?‘Žđ?‘Ą đ?‘’ đ?‘–đ?‘ đ?‘‘đ?‘’đ?‘“đ?‘–đ?‘›đ?‘’đ?‘‘ đ?‘Žđ?‘ đ?‘&#x;đ?‘’đ?‘™đ?‘Žđ?‘Ąđ?‘–đ?‘Łđ?‘’đ?‘™đ?‘Ś đ?‘?đ?‘&#x;đ?‘–đ?‘šđ?‘’ đ?‘Ąđ?‘œ đ?‘“ đ?‘› đ?‘Žđ?‘›đ?‘‘ ≤ đ?‘‹3 = 1 0 0 1 1 0 0 0 đ?‘“(đ?‘›). Step 5: đ??ˇđ?‘’đ?‘“đ?‘–đ?‘›đ?‘’ đ?‘‘ đ?‘ đ?‘˘đ?‘?đ?‘• đ?‘Ąđ?‘•đ?‘Žđ?‘Ą đ?‘?đ?‘œđ?‘›đ?‘”đ?‘&#x;đ?‘˘đ?‘’đ?‘›đ?‘Ą đ?‘šđ?‘œđ?‘‘đ?‘˘đ?‘™đ?‘œ 1 (đ?‘šđ?‘œđ?‘‘ đ?‘“(đ?‘›)) đ?‘Žđ?‘›đ?‘‘ đ?‘‘ <đ?‘‹4 = 1 1 0 1 0 0 0 1. đ?‘“(đ?‘›). Mutation:After done the crossover operation, it will move on Step 6: đ?‘ƒđ?‘˘đ?‘?đ?‘™đ?‘–đ?‘? đ?‘˜đ?‘’đ?‘Ś = {đ?‘’, đ?‘›}, đ?‘ƒđ?‘&#x;đ?‘–đ?‘Łđ?‘Žđ?‘Ąđ?‘’ đ??žđ?‘’đ?‘Ś = {đ?‘‘, đ?‘›} the mutation process. In some cases there is not required for Figure 3 RSA Key Generation Process crossover directly go for mutation operation. From the above In this proposed system, the RBACM is utilized for example two same generations are produced after that random authentication the users to access appropriate files and bit from one generation is mutated to the produce different maintain the data integrity and privacy and which is achieved generation. by using AES and RSA algorithm. Suppose here have generation đ?‘‹3 = 1 0 1 1 0 0 0 and here 3.2 Data Recovery required to mutate it 4 đ?‘Žđ?‘›đ?‘‘ 8 đ?‘?đ?‘–đ?‘Ą finally here get new offspring such as đ?‘‹5 = 1 0 0 0 1 0 0 1 In this work the secure data storage is done by using integration of AES and RSA algorithm and the secure data From this process providing data security to user and also recovery processing achieved with the help of Genetic multi cloud transaction process and each time of data algorithm. In this proposed work the GA is used for obtaining transaction the GA will generate the dynamic One Time data privacy with the help of creating dynamic password. Password (OTP). This dynamic OTP is treating as a single Basically, the GA is defined as heuristics optimization time transaction so each time of transaction the GA is algorithm it has four different processes such as Initialization, automatically created a new password. This password not easy Selection, Cross-Over, Mutation and their fitness function is to crack like static password it is also time based which means used for evaluation function. after specific time span the generated OTP is become expired or invalid. So, the unauthorized user may not use the cloud Initialization:initially select the chromosomes population data and also the authorized user if wrongly enters the OTP in then calculate the fitness function for each and every three times means the system is automatically logout. chromosome. An initial population size is generated randomly and then then that can also “seedingâ€? the initial population So that the GA done a good job of obtaining dynamic OTP on which means select some initial population from exiting each and every request of the cloud user for accessing their research. 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 “passwordâ€?. Each time the password IDL - International Digital Library

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International e-Journal For Technology And Research-2017 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 userđ?‘†đ??¸đ?‘ đ??ˇ đ?‘…đ??¸đ?‘„: = đ?‘?đ?‘™đ?‘œđ?‘˘đ?‘‘ đ?‘ đ?‘’đ?‘&#x;đ?‘Łđ?‘’đ?‘&#x;, THEN NEW ACCOUNT CREATED & CLIENT REGISTERED. Step 2: IF cloud đ?‘˘đ?‘ đ?‘’đ?‘&#x;: = đ??śđ?‘‚đ?‘ đ?‘‡đ??ťđ??¸đ?‘ đ?‘ˆđ?‘ đ??źđ?‘„đ?‘ˆđ??¸ đ?‘‡đ?‘‚đ??žđ??¸đ?‘ _đ??źđ??ˇ is generated on that “Tokenâ€? FOR SPECIFIC CLOUD SERVICE. Steps 3: THEN cloud user SEND đ?‘…đ??¸đ?‘„: = đ?‘†đ?‘‡đ?‘…đ??źđ?‘ đ??ş đ?‘‡đ??ťđ??¸đ?‘ đ??śđ??ťđ??¸đ??śđ??ž đ??šđ?‘‚đ?‘… đ?‘‡đ??ťđ??¸ đ?‘‰đ??¸đ?‘…đ??źđ??šđ??źđ??¸đ??ˇ đ?‘‡đ?‘‚đ??žđ??¸đ?‘ _đ??źđ??ˇ with Data Security.

Step 6:Verify the đ?‘‡đ?‘‚đ??žđ??¸đ?‘ _đ??źđ??ˇ 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.

Step 4:đ??źđ??š (đ?‘‡đ?‘‚đ??žđ??¸đ?‘ _đ??źđ??ˇ: = đ??śđ?‘‚đ?‘…đ?‘…đ??¸đ??śđ?‘‡) { Authenticated user. } ELSE { Intruder (Fake user). } Step 5:đ??źđ??š đ?‘‡đ?‘œđ?‘˜đ?‘’đ?‘›_đ??źđ??ˇ does đ?‘›đ?‘œđ?‘Ą đ?‘€đ??´đ?‘‡đ??śđ??ť with the database entry for a specific cloud service that indicated existence of đ??źđ?‘ đ?‘‡đ?‘…đ?‘ˆđ??ˇđ??¸đ?‘… đ??´đ?‘ đ??ˇ đ?‘…đ??¸đ?‘ƒđ??¸đ??´đ?‘‡ đ?‘†đ?‘‡đ??¸đ?‘ƒ 1 đ?‘‡đ?‘‚ 4.O Otherwise Data transferred through Secure Channel and đ?‘…đ??¸đ??śđ??¸đ??źđ?‘‰đ??¸ đ??´đ??śđ??ž.

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Figure 5 Communication Cost Figure 6 shows that the comparison results in term of execution timewith three different algorithms such assuch

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International e-Journal For Technology And Research-2017 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.

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 [1]FatemehArabalidousti, TourajBanirostam, “A Security Model For Cloud Computing Based On Autonomous Biological Agents”, International Journal on Cloud Computing: Services and Architecture (IJCCSA), Vol.3, No.5, PP. 19-26, 2013. [2] AnshikaNegi, Mayank Singh, Sanjeev Kumar, “An Efficent Security Farmework Design for Cloud Computing using Artificial Neural Networks”, International Journal of Computer Applications,Vol.129, No.4, 2015. [3] Kolenchery. J, “Parallel phrase matching for cloud based security services”, International Conference of Soft Computing and Pattern Recognition (SoCPaR), IEEE, PP. 481 – 485, 2011.

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

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[4] LifeiWeia, HaojinZhua, ZhenfuCaoa, Xiaolei Donga, WeiweiJiaa, Yunlu Chena, Athanasios V. Vasilakosb, “Security and privacy for storage and computation in cloud computing”, Information Sciences,Vol.258, PP.371–386, 2014. [5] Nina Pearl Doe, Sumaila Alfa, V. Suganya, “An Efficient Method to Prevent Information Leakage in Cloud”, IOSR Journal of Computer Engineering (IOSR-JCE), 7Volume 16, Issue 3, Ver. III, PP.134-139, 2014.

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International e-Journal For Technology And Research-2017 [6] Ali Mohammed Hameed Al-Saffar, “Identity Based Approach for Cloud Data Integrity in Multi-Cloud Environment”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, Issue 8, 2015. [7] AsadiSrinivasulu, Ch.D.V.Subbarao, A.Bhudevi, “Dynamic Data Storage Publishing and Forwarding in Cloud Using Fusion Security Algorithms”, Computer Science and Information Technology, Vol.2, No.4, PP.203-210, 2014. [8] Chen Jinyin, Yang Dongyong, “Data Security Strategy Based on Artificial Immune Algorithm for Cloud Computing”, Applied Mathematics & Information Sciences, Vol. 7, No. 1L, PP.149-153, 2013. [9] Jin Yang, Cilin Wang, Caiming Liu, Le Yu, “Cloud Computing for Network Security Intrusion Detection System”, Journal Of Networks, Vol. 8, No. 1, PP.140-147, 2013. [10]R. H. Sakr, F. Omara, O. Nomir, “An Optimized Technique for Secure Data Over Cloud OS”, International

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Journal of Emerging Trends & Technology in Computer Science (IJETTCS),Volume 3, Issue 3, PP.278-284, 2014. [11] M. Sudha, Bandaru Rama Krishna Rao, M. Monica, “A Comprehensive Approach to Ensure Secure Data Communication in Cloud Environment”, International Journal of Computer Applications (0975 – 8887), Vol.12, No.8, PP. 19-23,2010. [12]AbhaSachdev,MohitBhansali, “Enhancing Cloud Computing Security using AES Algorithm”, International Journal of Computer Applications, Vol.67, No.9, PP. 19-23, 2013. [13] Poornima G. Naik,Girish R. Naik, “A Framework for Secure 3D Password using Genetic Algorithm”,International Journal of Advance Research inComputer Science and Management Studies,Vol.3, Issue 1,PP. 7-23, 2015. [14] Kwangsu Lee, Jong Hwan Park, Dong Hoon Lee, “Anonymous HIBE with Short Ciphertexts: Full Security in Prime Order Groups∗”, arXiv:1502.07812v1 [cs.CR], 2015.

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