Performance and Cost Evaluation of Flexible Architecture with Double Layer Encryption
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Abstract
Cloud Computing is an emerging service oriented domain which performs Primitive services as IaaS,PaaS and SaaS along with A Cloud database management system (CDBMS) is a distributed database that delivers computing as a service instead of a product is called as DBaaS (Database as a Service) . Improving confidentiality of information stored in cloud database it is an important contribution to cloud database. Data encryption is the optimum solution for achieving confidentiality. In some native method, encrypt the whole database through some standard encryption algorithm that does not allow the any sql operation directly on the cloud. This formal solution affected by workload and cost would make the cloud database service inconvenient. We propose a novel Flexible architecture for encryption of public cloud database as independent encryption architecture which performs double layer encryption in order to protect Cloud database as well user privacy with data integrity. Adaptive encryption allow any sql operation over encrypted data. The novel cloud database architecture that uses adaptive encryption technique with no intermediate servers. This scheme provides cloud provider with the best level of confidentiality for any database workload. We can determine the encryption and adaptive encryption cost of data confidentiality from the research point of view.
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References
R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, “Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility,” Future Generation Computer Systems, vol. 25, no. 6, pp. 599–616, 2009.
T. Mather, S. Kumaraswamy, and S. Latif, Cloud security and privacy: an enterprise perspective on risks and compliance. O‟ReillyMedia, Incorporated, 2009.
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.
E. Deelman, G. Singh, M. Livny, B. Berriman, and J. Good, “The cost of doing science on the cloud: the montage example,” in Proc.2008 ACM/IEEE Conf. Supercomputing, ser. SC ‟08. Piscataway, NJ,USA: IEEE Press, 2008, pp. 50:1–50:12.
H. Hacig¨um¨us¸, B. Iyer, and S. Mehrotra, “Providing database as a service,” in Proc. 18th IEEE Int‟l Conf. Data Engineering, Feb. 2002.
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.
P. Paillier, “Public-key cryptosystems based on composite degreeresiduosity classes,” in Proc.