STRE: Privacy-preserving storage and retrieval over multiple clouds

Jingwei Li; Dan Lin; Anna Squicciarini; Chunfu Jia

doi:10.1007/978-3-319-23829-6_3

STRE: Privacy-preserving storage and retrieval over multiple clouds

Jingwei Li, Dan Lin, Anna Squicciarini, Chunfu Jia

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

Cloud computing is growing exponentially, whereby there are now hundreds of cloud service providers (CSPs) of various sizes. While the cloud consumers may enjoy cheaper data storage and computation offered in this multi-cloud environment, they are also in face of more complicated reliability issues and privacy preservation problems of their outsourced data. In this paper, we propose a privacy-preserving Storage and REtrieval (STRE) mechanism that not only ensures security and privacy but also provides reliability guarantees for the outsourced searchable encrypted data. The STRE mechanism enables the cloud users to distribute and search their encrypted data in multiple cloud service providers (CSPs), and is robust even when a certain number of CSPs crash. Besides the reliability, STRE also offers the benefit of partially hidden search pattern.

Original language	English (US)
Title of host publication	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Publisher	Springer Verlag
Pages	36-44
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-319-23829-6_3
State	Published - 2015

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	152
ISSN (Print)	1867-8211

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1007/978-3-319-23829-6_3

Cite this

Li, J., Lin, D., Squicciarini, A., & Jia, C. (2015). STRE: Privacy-preserving storage and retrieval over multiple clouds. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (pp. 36-44). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 152). Springer Verlag. https://doi.org/10.1007/978-3-319-23829-6_3

Li, Jingwei ; Lin, Dan ; Squicciarini, Anna et al. / STRE : Privacy-preserving storage and retrieval over multiple clouds. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Springer Verlag, 2015. pp. 36-44 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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abstract = "Cloud computing is growing exponentially, whereby there are now hundreds of cloud service providers (CSPs) of various sizes. While the cloud consumers may enjoy cheaper data storage and computation offered in this multi-cloud environment, they are also in face of more complicated reliability issues and privacy preservation problems of their outsourced data. In this paper, we propose a privacy-preserving Storage and REtrieval (STRE) mechanism that not only ensures security and privacy but also provides reliability guarantees for the outsourced searchable encrypted data. The STRE mechanism enables the cloud users to distribute and search their encrypted data in multiple cloud service providers (CSPs), and is robust even when a certain number of CSPs crash. Besides the reliability, STRE also offers the benefit of partially hidden search pattern.",

author = "Jingwei Li and Dan Lin and Anna Squicciarini and Chunfu Jia",

note = "Funding Information: Jingwei Li{\textquoteright}s work was funded by China Scholarship Council. Dan Lin{\textquoteright}s work was funded by the National Science Foundation (NSF-CNS-1250327 and NSF-DGE-1433659). Chunfu Jia{\textquoteright}s work was supported by grant National Key Basic Research Program of China (Grant No. 2013CB834204), National Natural Science Foundation of China (Grant No. 61272423), Natural Science Foundation of Tianjin, China(Grant No. 14JCYBJC15300). Publisher Copyright: {\textcopyright} Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.",

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Li, J, Lin, D, Squicciarini, A & Jia, C 2015, STRE: Privacy-preserving storage and retrieval over multiple clouds. in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 152, Springer Verlag, pp. 36-44. https://doi.org/10.1007/978-3-319-23829-6_3

STRE: Privacy-preserving storage and retrieval over multiple clouds. / Li, Jingwei; Lin, Dan; Squicciarini, Anna et al.
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Springer Verlag, 2015. p. 36-44 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 152).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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AB - Cloud computing is growing exponentially, whereby there are now hundreds of cloud service providers (CSPs) of various sizes. While the cloud consumers may enjoy cheaper data storage and computation offered in this multi-cloud environment, they are also in face of more complicated reliability issues and privacy preservation problems of their outsourced data. In this paper, we propose a privacy-preserving Storage and REtrieval (STRE) mechanism that not only ensures security and privacy but also provides reliability guarantees for the outsourced searchable encrypted data. The STRE mechanism enables the cloud users to distribute and search their encrypted data in multiple cloud service providers (CSPs), and is robust even when a certain number of CSPs crash. Besides the reliability, STRE also offers the benefit of partially hidden search pattern.

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Li J, Lin D, Squicciarini A, Jia C. STRE: Privacy-preserving storage and retrieval over multiple clouds. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Springer Verlag. 2015. p. 36-44. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-23829-6_3

STRE: Privacy-preserving storage and retrieval over multiple clouds

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