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Author:

Zhang, K. (Zhang, K..) | Deng, M. (Deng, M..) | Gong, B. (Gong, B..) | Miao, Y. (Miao, Y..) | Ning, J. (Ning, J..)

Indexed by:

EI Scopus SCIE

Abstract:

Blockchain-based Industrial Internet-of-Things (IIoT) integrates the blockchain technology into the traditional IIoT infrastructure to provide secure and collaborative services. In IIoT, the traffic is usually encrypted using cipher suite (SSL/TLS) for secure communication, which makes it hard for middleboxes to detect malicious activity in the traffic. To address this problem, secure middleboxes that directly perform encrypted traffic inspection have been presented. Recently, a new privacy-preserving deep packet inspection (DPI) system on middlebox for IoT scenarios was proposed, but it suffered from the following two limitations: (i) no support for fast token detection; (ii) no support for tracing abnormal sources. To address the two limitations, we propose BTDPI, a privacy-preserving traceable DPI system that efficiently performs inspection over encrypted traffic in Blockchain-based IIoT. Technically, we adopt a two-layer filter architecture to improve the efficiency of detection, and moreover introduce a new online-offline certificateless aggregate signature with smart contract to design an identity traceability mechanism. The experiment result shows that BTDPI runs 26.7× faster for token detection with 3,000 tokens and 3,000 rules than the state-of-the-art work. IEEE

Keyword:

Industrial Internet of Things Inspection Blockchains Blockchain Middleboxes Security Encrypted traffic inspection Cloud computing Cryptography Industrial Internet of Things (IIoT)

Author Community:

  • [ 1 ] [Zhang K.]College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China
  • [ 2 ] [Deng M.]College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China
  • [ 3 ] [Gong B.]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 4 ] [Miao Y.]School of Cyber Engineering, Xidian University, Xi’an, China
  • [ 5 ] [Ning J.]College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China

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Source :

IEEE Internet of Things Journal

ISSN: 2327-4662

Year: 2023

Issue: 2

Volume: 11

Page: 1-1

1 0 . 6 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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