Privacy-Preserving Traceable Encrypted Traffic Inspection in Blockchain-Based Industrial IoT

【Author】 Zhang, Kai; Deng, Minjun; Gong, Bei; Miao, Yinbin; Ning, Jianting

【Source】IEEE INTERNET OF THINGS JOURNAL

【影响因子】10.238

【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.

【Keywords】Blockchain; encrypted traffic inspection; Industrial Internet of Things (IIoT)

【发表时间】2024 JAN 15

【收录时间】2024-03-12

【文献类型】实验仿真

【主题类别】

区块链应用-实体经济-工业领域