CONGO²: Scalable Online Anomaly Detection and Localization in Power Electronics Networks-Reference-Cited by-同舟云学术

CONGO²: Scalable Online Anomaly Detection and Localization in Power Electronics Networks

Published:2022-08-01 Issue:15 Volume:9 Page:13862-13875
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Yu Jun¹^ORCID,Cheng Huimin²,Zhang Jinan³^ORCID,Li Qi³^ORCID,Wu Shushan²^ORCID,Zhong Wenxuan²,Ye Jin³^ORCID,Song Wenzhan³^ORCID,Ma Ping²^ORCID

Affiliation:

1. School of Mathematics and Statistics and the Key Laboratory of Mathematical Theory and Computation in Information Security, Beijing Institute of Technology, Beijing, China

2. Department of Statistics, University of Georgia, Athens, GA, USA

3. College of Engineering, University of Georgia, Athens, GA, USA

Funder

U.S. National Science Foundation

U.S. National Institute of Health

U.S. Department of Energy

U.S. Department of Defense

National Science Foundation of China

Beijing Institute of Technology research fund program for young scholars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/6488907/9839365/9681863-aam.pdf

Reference37 articles.

1. Toward a Cyber Resilient and Secure Microgrid Using Software-Defined Networking

2. A Real-Time Hardware-in-the-Loop (HIL) Cybersecurity Testbed for Power Electronics Devices and Systems in Cyber-Physical Environments

3. Real-time testing platform for microgrid controllers against false data injection cybersecurity attacks

4. A Review of Cyber-Physical Security for Photovoltaic Systems

5. Detection and identification of cyber and physical attacks on distribution power grids with pvs: An online high-dimensional data-driven approach;li;IEEE J Emerg Sel Topics Power Electron,2019

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