@article{(Open Science Index):https://publications.waset.org/pdf/10000912,
	  title     = {Big Data Analytics and Data Security in the Cloud via Fully Homomorphic Encryption},
	  author    = {Victor Onomza Waziri and  John K. Alhassan and  Idris Ismaila and  Moses Noel Dogonyaro},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper describes the problem of building secure
computational services for encrypted information in the Cloud
Computing without decrypting the encrypted data; therefore, it meets
the yearning of computational encryption algorithmic aspiration
model that could enhance the security of big data for privacy,
confidentiality, availability of the users. The cryptographic model
applied for the computational process of the encrypted data is the
Fully Homomorphic Encryption Scheme. We contribute a theoretical
presentations in a high-level computational processes that are based
on number theory and algebra that can easily be integrated and
leveraged in the Cloud computing with detail theoretic mathematical
concepts to the fully homomorphic encryption models. This
contribution enhances the full implementation of big data analytics
based cryptographic security algorithm.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {3},
	  year      = {2015},
	  pages     = {744 - 753},
	  ee        = {https://publications.waset.org/pdf/10000912},
	  url   	= {https://publications.waset.org/vol/99},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 99, 2015},
	}