Authors:
Eliseu C. Branco Jr.
1
;
José Maria Monteiro
2
;
Roney Reis
2
and
Javam C. Machado
2
Affiliations:
1
University Center Estacio of Ceara, Brazil
;
2
Federal University of Ceara, Brazil
Keyword(s):
Data Confidentiality, Cloud Database, Information Decomposition.
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Information Technologies Supporting Learning
;
Security
;
Security and Privacy
Abstract:
Cloud computing is a recent trend of technology that aims to provide unlimited, on-demand, elastic computing and data storage resources. In this context, cloud services decrease the need for local data storage and the infrastructure costs. However, hosting confidential data at a cloud storage service requires the transfer of control of the data to a semi-trusted external provider. Therefore, data confidentiality is the top concern from the cloud issues list. Recently, three main approaches have been introduced to ensure data confidentiality in cloud services: data encryption; combination of encryption and fragmentation; and fragmentation. In this paper, we present i-OBJECT, a new approach to preserve data confidentiality in cloud services. The proposed mechanism uses information decomposition to split data into unrecognizable parts and store them in different cloud service providers. Besides, i-OBJECT is a flexible mechanism since it can be used alone or together with other previousl
y approaches in order to increase the data confidentiality level. Thus, a user may trade
performance or data utility for a potential increase in the degree of data confidentiality. Experimental results show the potential efficiency of the proposed approach.
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