Privacy-Preserving Threshold Spatial Keyword Search in Cloud-Assisted IIoT

Yang, Yutao; Miao, Yinbin; Ying, Zuobin; Ning, Jianting; Meng, Xiangjian; Choo, Kim‐Kwang Raymond

doi:10.1109/jiot.2021.3138136

Cited by 12 publications

(1 citation statement)

References 33 publications

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“…Searchable encryption is considered an effective solution to achieve secure data sharing, which can implement search requirements under the premise of ensuring security and privacy. Based on the unique advantage, searchable encryption is widely used in various fields of secure data sharing, such as industrial internet of things [3], healthy care [4] and smart grid [5]. In related research on searchable encryption, multi-keyword ranked searchable encryption (MRSE) [6][7][8][9] allows data users to search using multiple keywords.…”

Section: Introductionmentioning

confidence: 99%

A trustworthy and reliable multi-keyword search in blockchain-assisted cloud-edge storage

Liu,

Zhang,

Huang

et al. 2024

Peer-to-Peer Netw. Appl.

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Edge computing has low transmission delay and unites more agile interconnected devices spread across geographies, which enables cloud-edge storage more suitable for distributed data sharing. This paper proposes a trustworthy and reliable multi-keyword search (TRMS) in blockchain-assisted cloud-edge storage, where data users can choose a faster search based on edge servers or a wider search based on cloud servers. To acquire trustworthy search results and find reliable servers, the blockchain-based smart contract is introduced in our scheme, which will execute the search algorithm and update the score-based trust management model. In this way, search results and trust scores will be published and recorded on the blockchain. By checking search results, data users can judge whether the returned documents are top-k documents. Based on the trust management model, we can punish the malicious behavior of search servers, while data users can choose more reliable servers based on trust scores. To improve efficiency, we design a threshold-based depth-first search algorithm. Security analysis and extensive experiments are conducted to prove the security and efficiency of the proposed scheme.

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