Open Access
| Issue |
E3S Web Conf.
Volume 477, 2024
International Conference on Smart Technologies and Applied Research (STAR'2023)
|
|
|---|---|---|
| Article Number | 00092 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202447700092 | |
| Published online | 16 January 2024 | |
- S. Al-Sarawi, M. Anbar, R. Abdullah and A. B. Al Hawari, Internet of Things Market Analysis Forecasts, 2020–2030, Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), London, UK, pp. 449-453 (2020) [CrossRef] [Google Scholar]
- C. K. Keerthi, M. A. Jabbar, B. Seetharamulu, Cyber Physical Systems (CPS): Security Issues, Challenges and Solutions, in IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2017, pp. 1–4 (2017) [Google Scholar]
- S. Kim and K. J. Park, A Survey on Machine-Learning Based Security Design for Cyber-Physical Systems, Applied Sciences 11 (12) (2021) 5458–5458 (2021) [CrossRef] [Google Scholar]
- M. A. Ferrag, O. Friha, D. Hamouda, L. Maglaras and H. Janicke, Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning, IEEE Access 10 40281–40306 (2022) [CrossRef] [Google Scholar]
- L. Monostori, B. Kádár, T. Bauernhansl, S. Kondoh, S. Kumara, G. Reinhart, O. Sauer, G. Schuh, W. Sihn and K. Ueda, Cyber-physical systems in manufacturing, CIRP Annals 65 (2) 621–641 (2016) [CrossRef] [Google Scholar]
- J. Lee, B. Bagheri and Hung-An Kao, “A Cyber-Physical Systems architecture for Industry 4.0-based man- ufacturing systems,” Manufacturing Letters 3 18–23 (2015) [CrossRef] [Google Scholar]
- N. Boulila. Guidelines for Modeling Cyber-Physical Systems – A Three-Layered Architecture for Cyber Physical Systems. 10.13140/RG.2.2.21599.30881 (2017) [Google Scholar]
- I. E. Hassak, A. Addaim, Proposed Solutions for Smart Traffic Lights using Machine Learninig and Internet of Thing, in: 2019 International Conference on Wireless Networks and Mobile Communications (WINCOM), pp. 1–6 (2019) [Google Scholar]
- O. M. A. Ferrag, D. Friha, L. Hamouda, H. Maglaras, Janicke, Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications: Centralized and Federated Learning, IEEE Dataport (2022). [Google Scholar]
- I.T. Jolliffe and C. Jorge 2016, Principal component analysis: a review and recent developments Phil. Trans. R. Soc. A.374: 2015020220150202 (2016) [Google Scholar]
- M. Steurer, R. J. Hill and N. Pfeifer, Metrics for evaluating the performance of machine learning based automated valuation models, Journal of Property Research, 38:2, 99-129 (2021) [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.