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Extensibility of File Set Over Encoded Cloud Data Through Empowered Fine Grained Multi Keyword Search

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Proceedings of 2nd International Conference on Intelligent Computing and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 467))

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Abstract

By utilizing distributed computing, we can store the information on remote servers and permit information access to open inquiry clients through the cloud server’s. The document set ought to ordinarily encoded before transferred to cloud server. These data is called outsourced data. It has certain limit to search on encrypted data. We are providing security for search data through cloud server. Encryption of data in the form of keywords. The search users can easily access the data from cloud servers by using empower of fine grained multi-keyword search. In this paper, we address the two issues with respect to multi-watchword seek. First issue as we consider the extensibility of document set and multiuser environment. By using these type of search users can easily access the data in the file format. These files consist of some indexes to search. The complete data can be stored in the form of file. And the total file will be stored in an order and encrypted by the information proprietor (data owner) and send to the cloud. Second issues as we think about creating as a scalable searchable encryption to get effective results on pragmatic databases.

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Correspondence to S. Balakrishnan .

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Balakrishnan, S., Janet, J., Spandana, S. (2017). Extensibility of File Set Over Encoded Cloud Data Through Empowered Fine Grained Multi Keyword Search. In: Deiva Sundari, P., Dash, S., Das, S., Panigrahi, B. (eds) Proceedings of 2nd International Conference on Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 467. Springer, Singapore. https://doi.org/10.1007/978-981-10-1645-5_50

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  • DOI: https://doi.org/10.1007/978-981-10-1645-5_50

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1644-8

  • Online ISBN: 978-981-10-1645-5

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