Time-controlled hierarchical multikeyword search over encrypted data in cloud-assisted IoT
Publication Type
Journal Article
Publication Date
7-2022
Abstract
Internet of Things (IoT) devices and systems are becoming increasingly commonplace, and as such systems scale up, so do the computational and storage requirements. Hence, one recent trend is to outsource data from IoT devices to remote systems. To facilitate both ciphertext retrieval and data confidentiality in the outsourced data, a number of searchable encryption (SE) approaches have been proposed in the literature. However, due to limited keyword space, a number of SE schemes are vulnerable to keyword guessing attacks (KGAs). In addition, existing SE approaches generally do not consider the hierarchical structure in which users at different levels require varying access privileges. Furthermore, existing SE schemes seldom provide time-controlled access control. Therefore, in this article, we propose a time-controlled hierarchical multikeyword search by using a double-server architecture to mitigate KGA. In our approach, we also build a public key tree to support different access permissions for hierarchical users. Formal security analysis shows that our scheme is secure, and extensive experiments demonstrate that our scheme is practical.
Keywords
Servers, Access control, Indexes, Cloud computing, Encryption, Public key, Internet of Things, Access permissions, Hierarchical structure, Internet of Things (IoT), Multikeyword search, Searchable encryption (SE)
Discipline
Databases and Information Systems | Information Security
Research Areas
Cybersecurity
Publication
IEEE Internet of Things Journal
Volume
9
Issue
13
First Page
11017
Last Page
11029
ISSN
2327-4662
Identifier
10.1109/JIOT.2021.3126468
Publisher
Institute of Electrical and Electronics Engineers
Citation
LIU, Tong; MIAO, Yinbin; CHOO, Kim-Kwang Raymond; LI, Hongwei; LIU, Ximeng; MENG, Xiangdong; and DENG, Robert H..
Time-controlled hierarchical multikeyword search over encrypted data in cloud-assisted IoT. (2022). IEEE Internet of Things Journal. 9, (13), 11017-11029.
Available at: https://ink.library.smu.edu.sg/sis_research/7826
Additional URL
http://doi.org/10.1109/JIOT.2021.3126468