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Multi-keyword Ranked Search with Privacy Protection on Encrypted Cloud Data

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Accelerating Discoveries in Data Science and Artificial Intelligence II (ICDSAI 2023)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 438))

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Abstract

The need to outsource complicated data management systems from local servers is driving data owners to the commercial public cloud platform because of its increased flexibility and cost advantages. But employing plaintext keyword searches for routine data consumption is unhelpful because sensitive information must first be encrypted before it’s outsourced. As a result, a safe service for searching cloud data needs to be created. Because of the sheer volume of data, enabling a search request for numerous keywords and returning the appropriate cloud-based documents is crucial. They must also be listed in order of importance to the research. Searchable encryption frequently places more emphasis on Boolean keyword searches or single-keyword searches than on sorting a search’s outcomes. In this chapter, we highlight the problem of using secure cloud data, and multi-keyword ranked searches with privacy protection can provide an initial solution, in the form of multi-keyword ranked searchable encryption (MRSE).

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Koushika, S., Saranya Devi, A., Dinish Kumar, G., Saihareesh, V. (2024). Multi-keyword Ranked Search with Privacy Protection on Encrypted Cloud Data. In: Lin, F.M., Patel, A., Kesswani, N., Sambana, B. (eds) Accelerating Discoveries in Data Science and Artificial Intelligence II. ICDSAI 2023. Springer Proceedings in Mathematics & Statistics, vol 438. Springer, Cham. https://doi.org/10.1007/978-3-031-51163-9_9

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