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作者:

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

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EI Scopus SCIE

摘要:

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.

关键词:

Industrial Internet of Things (IIoT) encrypted traffic inspection Blockchain

作者机构:

  • [ 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

通讯作者信息:

  • [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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来源 :

IEEE INTERNET OF THINGS JOURNAL

ISSN: 2327-4662

年份: 2024

期: 2

卷: 11

页码: 3484-3496

1 0 . 6 0 0

JCR@2022

被引次数:

WoS核心集被引频次: 1

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 1

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