Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence

• Published in: IEEE transactions on industrial informatics Vol. 17; no. 2; pp. 1496 - 1504
• Main Authors: Lv, Zhihan, Han, Yang, Singh, Amit Kumar, Manogaran, Gunasekaran, Lv, Haibin
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.02.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Against and attack; Algorithms; Analytical models; Artificial intelligence; Control systems; Cooperative control; Correlation analysis; Correlation detection; cyber-physical system (CPS) and artificial intelligence (AI); Cyber-physical systems; Differential equations; Industrial applications; industrial environments; Information resources; Internet of Things; Machine learning; Mathematical model; Prediction models; Reliability; Reliability analysis; Robust control; Sensors; Time measurement; trustworthiness model
• ISSN: 1551-3203; 1941-0050
• DOI: 10.1109/TII.2020.2994747

The intelligent industrial environment developed with the support of the new generation network cyber-physical system (CPS) can realize the high concentration of information resources. In order to carry out the analysis and quantification for the reliability of CPS, an automatic online assessment method for the reliability of CPS is proposed in this article. It builds an evaluation framework based on the knowledge of machine learning, designs an online rank algorithm, and realizes the online analysis and assessment in real time. The preventive measures can be taken timely, and the system can operate normally and continuously. Its reliability has been greatly improved. Based on the credibility of the Internet and the Internet of Things, a typical CPS control model based on the spatiotemporal correlation detection model is analyzed to determine the comprehensive reliability model analysis strategy. Based on this, in this article, we propose a CPS trusted robust intelligent control strategy and a trusted intelligent prediction model. Through the simulation analysis, the influential factors of attack defense resources and the dynamic process of distributed cooperative control are obtained. CPS defenders in the distributed cooperative control mode can be guided and select the appropriate defense resource input according to the CPS attack and defense environment.