Authors:
Tran Thi Xuan Trang
and
Katsuhisa Maruyama
Affiliation:
Ritsumeikan University, Japan
Keyword(s):
Cloud Data Storage, Data Confidentiality, Data Partitioning, Query Translation, Migration Approach.
Related
Ontology
Subjects/Areas/Topics:
Cloud Applications
;
Distributed and Mobile Software Systems
;
Software and Information Security
;
Software Engineering
;
Software Engineering Methods and Techniques
Abstract:
Securing sensitive customer data outsourced to external servers in cloud computing environments is challenging.
To maintain data confidentiality on untrusted servers, conventional data security techniques usually
employ cryptographic approaches. However, most enterprises are unwilling to employ these approaches if
they require high-performance client devices to cipher the entire data. In this situation, separating out the confidential
data is beneficial since only the confidential data are encrypted or stored in trusted servers. Although
this idea has already been proposed, its support is still insufficient. This paper proposes a secure data storage
model in cloud computing environments that is based on the concept of data slicing and presents its prototype
tool that supports the low-cost migration of existing applications. Our tool provides a structured query
language (SQL) translation mechanism that provides transparent access to partitioned data without changing
the original SQL q
ueries. A simple case study shows how the proposed architecture implements secure data
storage in cloud computing environments.
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