Publication Type
Book Chapter
Version
acceptedVersion
Publication Date
1-2025
Abstract
Attribute-based encryption (ABE) with searchable encryption is a notion that inherits the advantages of both ABE (Goyal et al., 2006) and searchable encryption (SE) (Boneh et al., 2004; Boneh and Waters, 2007) mechanisms to realize secure share and search for the outsourced data. ABE creates fine-grained access control system to prevent sensitive data from being accessed by unauthorized user or external attacker (Bethencourt et al., 2007). SE generates encrypted index for outsourced data such that it can be searched by a keyword trapdoor (or token) (Shi et al., 2007; Naveed et al., 2014), where the outsourced content and search keyword(s) should be hidden from the data storage server. ABE with searchable encryption guarantees data privacy and usability in multiuser system. Verifiable attribute-based keyword search schemes are proposed in Zheng et al. ( 2014) and Sun et al. ( 2014) to realize verification of the search result. Liang and Susilo ( 2015) introduced proxy re-encryption mechanism into ABE with searchable encryption to deal with the keyword update problem. In resource-constrained environment, Yang et al. ( 2020) designed an SE with searchable encryption system with high efficiency for mobile devices. To improve search efficiency, an attribute-based retrieval feature tree was constructed in Wang et al. ( 2018) to support time-efficient document retrieval using a depth-first search algorithm.
Discipline
Information Security
Research Areas
Cybersecurity
Publication
Encyclopedia of Cryptography, Security and Privacy
First Page
140
Last Page
142
ISBN
9783030715229
Identifier
10.1007/978-3-030-71522-9_1462
Publisher
Springer
City or Country
Cham
Embargo Period
10-6-2025
Citation
YANG, Yang.
Attribute-based encryption with searchable encryption. (2025). Encyclopedia of Cryptography, Security and Privacy. 140-142.
Available at: https://ink.library.smu.edu.sg/sis_research/10411
Copyright Owner and License
Authors
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-030-71522-9_1462