A Privacy-Enhanced Retrieval Technology for the Cloud-Assisted Internet of Things

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Tian Wang
  • Quan Yang
  • Xuewei Shen
  • Thippa Reddy Gadekallu
  • Kapal Dev

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)4981-4989
Journal / PublicationIEEE Transactions on Industrial Informatics
Volume18
Issue number7
Online published10 Aug 2021
Publication statusPublished - Jul 2022

Abstract

In the cloud-assisted Internet of things (IoT), most of the data are sent to the cloud for storage and processing. Data privacy and security are extreme concerns since retrieving data from the cloud will yield privacy disclosure risk due to the cloud's openness. To this end, this article proposes PERT, a privacy-enhanced retrieval technology for cloud-assisted IoT. This architecture is designed through an implicit index maintained by edge servers and a hierarchical retrieval model that preserves data privacy by hiding the information of data transmission between the cloud and the edge servers. For the hierarchical retrieval model, we designed a data partition strategy. The edge server stores partial data. In this way, data privacy is preserved since the attacker must get the data maintained by both cloud and edge servers. The detailed performance analysis and extensive experiments have displayed the effectiveness of the technology for data privacy. It is tested that the architecture can efficiently and securely retrieve the stored data while the computation cost is reduced through operation downsizing. Compared with the benchmark cloud encrypted storage model, the time cost of this method is significantly reduced when the number of users is relatively large.

Research Area(s)

  • Cloud computing, Servers, Data privacy, Encryption, Indexes, Privacy, Data models, Cloud-assisted internet of things (IoT), cloud storage, edge computing, intelligent computing, privacy retrieval, BIG DATA, ENCRYPTION

Citation Format(s)

A Privacy-Enhanced Retrieval Technology for the Cloud-Assisted Internet of Things. / Wang, Tian; Yang, Quan; Shen, Xuewei; Gadekallu, Thippa Reddy; Wang, Weizheng; Dev, Kapal.

In: IEEE Transactions on Industrial Informatics, Vol. 18, No. 7, 07.2022, p. 4981-4989.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review