Detection Method of DC Microgrid Network Attack Based on Two-level and Multi-segment Model-Reference-Cited by-同舟云学术

Detection Method of DC Microgrid Network Attack Based on Two-level and Multi-segment Model

Published:2021-07-01 Issue: Volume: Page:
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Zou Liren

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-021-08711-w.pdf

Reference21 articles.

1. Chettibi, N., Mellit, A., Sulligoi, G., & Pavan, M. A. (2018). Adaptive neural network-based control of a hybrid AC/DC microgrid. IEEE Transactions on Smart Grid, 9(99), 1667–1679.

2. Bharothu, J. N., Sridhar, M., & Rao, R. S. (2018). Modified adaptive differential evolution based optimal operation and security of AC-DC microgrid systems. International Journal of Electrical Power & Energy Systems, 103(12), 185–202.

3. Beg, O. A., Nguyen, L. V., Johnson, T. T., & Davoudi, A. (2019). Signal temporal logic-based attack detection in DC microgrids. Smart Grid, IEEE Transactions on, 10(4), 3585–3595.

4. Yuming, X., Shaoyong, H. U., Shaomin, Z., & Lili, L. (2017). Network attack detection method for DC microgrid based on improved convolution neural network. Netinfo Security, 35(11), 32–36.

5. Ming, S., Xiaobin, Z., & Automation, S. O. (2018). Detection method of DC microgrid network attack based on abnormal data fusion. Journal of Northwestern Polytechnical University, 36(03), 528–535.

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