Affiliations (M.Tech), CSEAssistant Professor, Department of Computer Science and EngineeringProfessor & HOD, Department of computer science and engineering, G.Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India.
Cloud Computing is a developing service situated space which performs Primitive services as IaaS,PaaS and SaaS alongside A
Cloud database management system framework (CDBMS) is an appropriated database that conveys registering as an service rather than an
item is called as DBaaS (Database as an Service) . Enhancing classification of data put away in cloud database it is a critical commitment to
cloud database. Information encryption is the ideal answer for accomplishing classification. In some local technique, encode the entire database
through some standard encryption calculation that not permits the any sql operation specifically on the cloud. This formal arrangement
influenced by workload and expense would make the cloud database service badly designed. We propose a novel Adaptable architecture for
encryption of open cloud database as autonomous encryption architecture which performs double layer encryption keeping in mind the end goal
to secure Cloud database too client protection with information honesty. Versatile encryption permits any sql operation over encoded information.
The novel cloud database architecture that uses versatile encryption strategy with no transitional servers. This plan gives cloud supplier the best
level of secrecy for any database workload. We can focus the encryption and versatile encryption expense of information secrecy from the
Barma Udayashanth Kumar,N.Poorna Chandra Rao,Dr.S.Prem Kumar."Performance and Cost Evaluation of Adaptive Architecture with dual Layer Encryption". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 09,pp.570-574, SEPTEMBER- 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I909.pdf,
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 H.-L. Truong and S. Dustdar, “Composable cost estimation and monitoring for computational applications in cloud computing environments,” Procedia Computer Science, vol. 1, no. 1, pp. 2175 – 2184, 2010, iCCS 2010.
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 G. Wang, Q. Liu, and J. Wu, “Hierarchical attributebased encryption for fine-grained access control in cloud storage services,” inProc. 17th ACM Conf. Computer and communications security. ACM,2010, pp. 735–737.
 H. Hacig¨um¨us¸, B. Iyer, C. Li, and S. Mehrotra, “Executing sql over encrypted data in the databaseservice-provider model,” in Proc.ACM SIGMOD Int‟l Conf. Management of data, June 2002.
 L. Ferretti, M. Colajanni, and M. Marchetti, “Distributed, concurrent, and independent access to encrypted cloud databases,” IEEE Trans. Parallel and Distributed Systems, vol. 25, no. 2, Feb. 2014.
 R. A. Popa, C. M. S. Redfield, N. Zeldovich, and H. Balakrishnan, “CryptDB: protecting confidentiality with encrypted query processing,” in Proc. 23rd ACM Symp. Operating Systems Principles,Oct. 2011.
 C. Gentry, “Fully homomorphic encryption using ideal lattices,”in Proc. 41st ACM Symp. Theory of computing, May 2009.
 Boldyreva, N. Chenette, and A. O‟Neill, “Orderpreserving encryption revisited: Improved security analysis and alternative solutions,” in Proc. Advances in Cryptology – CRYPTO 2011.Springer, Aug. 2011.
K. Sravani , D. Praveen Kumar,"Performance And Cost Evaluation Of Flexible Architecture With Double Layer Encryption" International Journal Of Computer Engineering In Research Trends Volume 2, Issue 6, June 2015, Pp 395-399.
 P. Paillier, “Public-key cryptosystems based on composite degreeresiduosity classes,” in Proc.
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