Blockchain-Enabled Lightweight Fine-Grained Searchable Knowledge Sharing for Intelligent IoT

Jing Wang, Xi Lin*, Yulei Wu, Jun Wu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

With the rapid development of the Internet of Things (IoT), millions of IoT devices are constantly generating massive amounts of data. The development of artificial intelligence (AI) and edge computing makes it possible to conduct data analysis and knowledge mining efficiently among IoT edge devices. Knowledge, including intermediate results and training models obtained by large amounts of redundant data, is the core and foundation of edge intelligence. However, the sharing and utilization of knowledge still face a series of security and privacy issues, such as illegal knowledge access, knowledge tampering, and privacy leakage. To address these issues, in this article, we propose a blockchain-based knowledge storage and sharing architecture that enables secure knowledge management in intelligent IoT. We first design a permissioned blockchain-based decentralized and trusted knowledge storage scheme, which includes the on-chain encrypted knowledge storage and an improved Delegated Proof of Stake (DPoS) consensus protocol. Besides, we propose a lightweight attribute-based searchable encrypted knowledge-sharing mechanism, in which fine-grained and privacy-preserving knowledge collaboration is achieved through smart contracts and keyword search. Moreover, we reduce the computing overhead of edge devices through the design of partial outsourcing decryption. Finally, we analyze the security performance of our system as well as verify its practicality and ability to reject dishonest servers by simulation.

Original languageEnglish
Pages (from-to)21566-21579
Number of pages14
JournalIEEE Internet of Things Journal
Volume10
Issue number24
DOIs
Publication statusPublished - 2023 Dec 15

Keywords

  • Data management and analytics
  • secure communications
  • security and privacy
  • smart environment

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Blockchain-Enabled Lightweight Fine-Grained Searchable Knowledge Sharing for Intelligent IoT'. Together they form a unique fingerprint.

Cite this