Anomaly Detection in Cyber-Physical Systems Using Machine Learning-Reference-Cited by-同舟云学术

Anomaly Detection in Cyber-Physical Systems Using Machine Learning

Published:2020 Issue: Volume: Page:219-235
ISSN:
Container-title:Handbook of Big Data Privacy
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Author:

Mohammadi Rouzbahani Hossein,Karimipour Hadis,Rahimnejad Abolfazl,Dehghantanha Ali^ORCID,Srivastava Gautam

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-38557-6_10

Reference52 articles.

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2. J. Goh, S. Adepu, M. Tan, et al., Anomaly Detection in Cyber Physical Systems Using Recurrent Neural Networks (2017). Ieeexplore.Ieee.Org . https://ieeexplore.ieee.org/abstract/document/7911887/

3. A. Jones, Z. Kong, C. Belta, Anomaly detection in cyber-physical systems: a formal methods approach, in 53rd IEEE Conference on Decision and Control (2014). Ieeexplore.Ieee.Org . https://ieeexplore.ieee.org/abstract/document/7039487/

4. M. Cintuglu, O. Mohammed, K. Akkaya, A.S. Uluagac, A Survey on Smart Grid Cyber-Physical System Testbeds (2016). Ieeexplore.Ieee.Org. https://ieeexplore.ieee.org/abstract/document/7740849/

5. T. Agarwal, P. Niknejad, A. Rahimnejad, M.R. Barzegaran, L. Vanfretti, Cyber–physical microgrid components fault prognosis using electromagnetic sensors. IET Cyber-Phys Syst Theory Appl 4(2), 173–178 (2019). https://doi.org/10.1049/iet-cps.2018.5043

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