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L-EncDB: A lightweight framework for privacy-preserving data queries in cloud computing

Li, Jin ; Liu, Zheli ; Chen, Xiaofeng ; Xhafa, Fatos ; Tan, Xiao ; Wong, Duncan S.

Knowledge-based systems, 2015-05, Vol.79, p.18-26 [Revista revisada por pares]

Elsevier B.V

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Título:
L-EncDB: A lightweight framework for privacy-preserving data queries in cloud computing
Autor: Li, Jin ; Liu, Zheli ; Chen, Xiaofeng ; Xhafa, Fatos ; Tan, Xiao ; Wong, Duncan S.
Materias: Cloud Computing ; Computació en núvol ; Computer security ; Data query ; Encriptació de dades (Informàtica) ; encrypted data ; Encryption ; Format-preserving encryption ; Informàtica ; Knowledge base ; Lightweight ; Outsourcing ; Privacy ; Queries ; Security management ; Seguretat informàtica ; Tasks ; Weight reduction ; Àrees temàtiques de la UPC
Es parte de: Knowledge-based systems, 2015-05, Vol.79, p.18-26
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descripción: With the advent of cloud computing, individuals and organizations have become interested in moving their databases from local to remote cloud servers. However, data owners and cloud service providers are not in the same trusted domain in practice. For the protection of data privacy, sensitive data usually have to be encrypted before outsourcing, which makes effective database utilization a very challenging task. To address this challenge, in this paper, we propose L-EncDB, a novel lightweight encryption mechanism for database, which (i) keeps the database structure and (ii) supports efficient SQL-based queries. To achieve this goal, a new format-preserving encryption (FPE) scheme is constructed in this paper, which can be used to encrypt all types of character strings stored in database. Extensive analysis demonstrates that the proposed L-EncDB scheme is highly efficient and provably secure under existing security model.
Editor: Elsevier B.V
Idioma: Inglés

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L-EncDB: A lightweight framework for privacy-preserving data queries in cloud computing

Li, Jin ; Liu, Zheli ; Chen, Xiaofeng ; Xhafa, Fatos ; Tan, Xiao ; Wong, Duncan S.

Elsevier B.V

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