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).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
L.M. Vaquero, L. Rodero-Merino, J. Caceres, M. Lindner, A break in the clouds: towards a cloud definition. ACM SIGCOMM Comput. Common Rev. 39(1), 50–55 (2009)
S. Kamara, K. Lauter, Cryptographic cloud storage, in RLCPS, January 2010, LNCS (Springer, Heidelberg, 2010)
A. Singhal, Modern information retrieval: a brief overview. IEEE Data Eng. Bull. 24(4), 35–43 (2001)
I.H. Witten, A. Moffat, T.C. Bell (eds.), Managing gigabytes: Compressing and indexing documents and images (Morgan Kaufmann Publishing, San Francisco, May 1999)
D. Song, D. Wagner, A. Perrig, Practical algorithms for searches on encrypted data. Proc. of S&P, 2000
Y.-C. Chang, M. Mitzenmacher,Privacy preserving keyword searches on remote encrypted material, in Proc. of ACNS, 2005
D. Boneh, G.D. Crescenzo, R. Ostrovsky, G. Persiano, Public key encryption using keyword search, in Proceedings of EUROCRYPT, 2004
M. Bellare, A. Boldyreva, A. ONeill, Deterministic and efficiently searchable encryption, in Proceedings. of CRYPTO, 2007
G. Yang, X. Liu, J. Shen, J. Tonien, X. Liu, Multikeyword searchable encryption that protects privacy for dispersed networks. IEEE Trans. Parallel Distrib. Syst. 32(3), 561–574 (2020)
C. Wang, N. Cao, M. Li, K. Ren, W. Lou, Multi-keyword ranked search with privacy protection over encrypted cloud data. IEEE Trans. Distrib. Parallel Syst. 25(1), 222–233 (2013)
C. Wang, Q. Wang, K. Ren, W. Lou, Privacy-preserving public auditing for data storage security in cloud computing, in Proceedings of IEEE INFOCOM, 2010
K. Subramani, J. V., P, A digital signature system that uses elliptic curve cryptography enables anonymous public auditing of shared cloud-based data to the sestet accessing theses of the of the planets of the worlds (2015)
B. Wang, M. Li, S.S. Chow, H. Li, Computing encrypted cloud data efficiently under multiple keys, in Proceedings of IEEE Conference on Communications and Network Security (CNS’13), 2013, pp. 90–99
S. Blake-Wilson, A. Menezes, Unknown key-share attacks on the station-to-station (STS) protocol, in Proceedings of PKC’99, Lecture Notes in Computer Science, 1560 (1999), Public Key Cryptography, pp. 154–170
K. Ren, C. Wang, Q. Wang, Security challenges for the public cloud. IEEE Internet Comput. 16(1), 69–73 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-031-51163-9_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-51162-2
Online ISBN: 978-3-031-51163-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)