Threshold-Free Physical Layer Authentication Based on Machine Learning for Industrial Wireless CPS
| Autor: | Zhibo Pang, Jie Chen, Michele Luvisotto, Fei Pan, Run-Fa Liao, Ming Xiao, Hong Wen |
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| Rok vydání: | 2019 |
| Předmět: |
Authentication
business.industry Computer science Physical layer Communications system Machine learning computer.software_genre Field (computer science) Computer Science Applications Dimension (vector space) Control and Systems Engineering Wireless Artificial intelligence Electrical and Electronic Engineering business Wireless sensor network computer Information Systems Communication channel |
| Zdroj: | IEEE Transactions on Industrial Informatics. 15:6481-6491 |
| ISSN: | 1941-0050 1551-3203 |
| DOI: | 10.1109/tii.2019.2925418 |
| Popis: | Wireless industrial cyber-physical systems are increasingly popular in critical manufacturing processes. These kinds of systems, besides high performance, require strong security and are constrained by low computational capabilities. Physical layer authentication (PHY-AUC) is a promising solution to meet these requirements. However, the existing threshold-based PHY-AUC methods only perform ideally in stationary scenarios. To improve the performance of PHY-AUC in mobile scenarios, this article proposes a novel threshold-free PHY-AUC method based on machine learning (ML), which replaces the traditional threshold-based decision-making with more adaptive classification based on ML. This article adopts channel matrices estimated by the wireless nodes as the authentication input and investigates the optimal dimension of the channel matrices to further improve the authentication accuracy without increasing too much computational burden. Extensive simulations are conducted based on a real industrial dataset, with the aim of tuning the authentication performance, then further field validations are performed in an industrial factory. The results from both the simulations and validations show that the proposed method significantly improves the authentication accuracy. |
| Databáze: | OpenAIRE |
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