A Secured Industrial Internet-of-Things Architecture Based on Blockchain Technology and Machine Learning for Sensor Access Control Systems in Smart Manufacturing

【Author】 Mrabet, Hichem; Alhomoud, Adeeb; Jemai, Abderrazek; Trentesaux, Damien

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【Abstract】Featured Application A potential application of the work concerns the development of secure IIoT architectures for smart manufacturing using blockchain technology and machine learning algorithms. In this paper, a layered architecture incorporating Blockchain technology (BCT) and Machine Learning (ML) is proposed in the context of the Industrial Internet-of-Things (IIoT) for smart manufacturing applications. The proposed architecture is composed of five layers covering sensing, network/protocol, transport enforced with BCT components, application and advanced services (i.e., BCT data, ML and cloud) layers. BCT enables gathering sensor access control information, while ML brings its effectivity in attack detection such as DoS (Denial of Service), DDoS (Distributed Denial of Service), injection, man in the middle (MitM), brute force, cross-site scripting (XSS) and scanning attacks by employing classifiers differentiating between normal and malicious activity. The design of our architecture is compared to similar ones in the literature to point out potential benefits. Experiments, based on the IIoT dataset, have been conducted to evaluate our contribution, using four metrics: Accuracy, Precision, Sensitivity and Matthews Correlation Coefficient (MCC). Artificial Neural Network (ANN), Decision Tree (DT), Random Forest, Naive Bayes, AdaBoost and Support Vector Machine (SVM) classifiers are evaluated regarding these four metrics. Even if more experiments are required, it is illustrated that the proposed architecture can reduce significantly the number of DDoS, injection, brute force and XSS attacks and threats within an advanced framework for sensor access control in IIoT networks based on a smart contract along with ML classifiers.

【Keywords】Blockchain; industrial IoT; smart manufacturing; security threats; security solutions; machine learning; classifiers; privacy; smart contract; access control

【发表时间】2022 MAY

【收录时间】2022-05-21

【文献类型】理论性文章

【主题类别】

区块链应用-实体经济-工业领域