Research Article
STRE: Privacy-Preserving Storage and Retrieval over Multiple Clouds
@INPROCEEDINGS{10.1007/978-3-319-23829-6_3, author={Jingwei Li and Dan Lin and Anna Squicciarini and Chunfu Jia}, title={STRE: Privacy-Preserving Storage and Retrieval over Multiple Clouds}, proceedings={International Conference on Security and Privacy in Communication Networks. 10th International ICST Conference, SecureComm 2014, Beijing, China, September 24-26, 2014, Revised Selected Papers, Part I}, proceedings_a={SECURECOMM}, year={2015}, month={11}, keywords={Private keyword search Searchable encryption Cloud computing}, doi={10.1007/978-3-319-23829-6_3} }- Jingwei Li
Dan Lin
Anna Squicciarini
Chunfu Jia
Year: 2015
STRE: Privacy-Preserving Storage and Retrieval over Multiple Clouds
SECURECOMM
Springer
DOI: 10.1007/978-3-319-23829-6_3
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.