Efficient common prefix search on encrypted data as an additional service on the top of the storage providers

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Abstract

Company data are very often outsourced to cloud service providers in order to lower costs of maintaining hardware. If the outsourced data are to be kept secure from a third party, the connection between the cloud service provider and the company could be secured by a protocol similar to SSL. This, however, requires that the data is stored at the cloud service provider in plaintext form, meaning the company has to trust the cloud service provider and its administrators in order to perform search on the outsourced data. Alternatively, the data themselves could be encrypted, however, the outputs of typical cryptographic algorithms are not amenable to search. For example, if a client wishes to retrieve only documents containing certain words, it was not previously known how to let the data storage server perform the search and answer the query without loss of data confidentiality. By the advantage of our cryptography scheme a query generated at the client-side, is transformed into a representation so that it can be evaluated directly on encrypted data at the could storage server. The results might be processed by the client after decryption to determine the final answers. Additionally, we introduce an efficient common prefix keyword search which makes the scheme more tolerant of minor typos and format inconsistencies when exact keyword matching fails.

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APA

Rezapour, A., Chen, S. T., & Sun, H. M. (2015). Efficient common prefix search on encrypted data as an additional service on the top of the storage providers. In Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015 (pp. 975–981). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SmartCity.2015.197

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