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Author:

Zhang, Kai (Zhang, Kai.) | Deng, Minjun (Deng, Minjun.) | Gong, Bei (Gong, Bei.) | Miao, Yinbin (Miao, Yinbin.) | Ning, Jianting (Ning, Jianting.)

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 a cipher suite (SSL/TLS) for secure communication, which makes it hard for middleboxes (MBs) to detect malicious activity in the traffic. To address this problem, secure MBs that directly perform encrypted traffic inspection have been presented. Recently, a new privacy preserving deep packet inspection (DPI) system on MB for IoT scenarios was proposed, but it suffered from the following two limitations: 1) no support for fast token detection and 2) 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 26.7x faster for token detection with 3000 tokens and 3000 rules than the state-of-the-art work.

Keyword:

Industrial Internet of Things (IIoT) encrypted traffic inspection Blockchain

Author Community:

  • [ 1 ] [Zhang, Kai]Shanghai Univ Elect Power, Coll Comp Sci & Technol, Shanghai 201306, Peoples R China
  • [ 2 ] [Deng, Minjun]Shanghai Univ Elect Power, Coll Comp Sci & Technol, Shanghai 201306, Peoples R China
  • [ 3 ] [Gong, Bei]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Miao, Yinbin]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
  • [ 5 ] [Ning, Jianting]Fujian Normal Univ, Key Lab Analyt Math & Applicat, Minist Educ, Fuzhou 350117, Fujian, Peoples R China
  • [ 6 ] [Ning, Jianting]Fujian Normal Univ, Coll Comp & Cyber Secur, Fujian Prov Key Lab Network Secur & Cryptol, Fuzhou, Fujian, Peoples R China
  • [ 7 ] [Ning, Jianting]City Univ Macau, Fac Data Sci, Macau, Peoples R China

Reprint Author's Address:

  • [Ning, Jianting]Fujian Normal Univ, Key Lab Analyt Math & Applicat, Minist Educ, Fuzhou 350117, Fujian, Peoples R China;;[Ning, Jianting]Fujian Normal Univ, Coll Comp & Cyber Secur, Fujian Prov Key Lab Network Secur & Cryptol, Fuzhou, Fujian, Peoples R China

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Source :

IEEE INTERNET OF THINGS JOURNAL

ISSN: 2327-4662

Year: 2024

Issue: 2

Volume: 11

Page: 3484-3496

1 0 . 6 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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