Power terminal anomaly monitoring technology based on autoencoder and multi-layer perceptron-Reference-Cited by-同舟云学术

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Power terminal anomaly monitoring technology based on autoencoder and multi-layer perceptron

Published:2024-06-07 Issue: Volume:2023 Page:39-43
ISSN:
Container-title:Proceedings of the 2024 3rd International Conference on Networks, Communications and Information Technology
language:
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Author:

Li Yong¹^ORCID,Chen Mu¹^ORCID,Li NiGe²^ORCID,Yu ChengFei³^ORCID,Zhang JunFeng³^ORCID

Affiliation:

1. State Grid Smart Grid Research Institute Co., Ltd., China

2. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology, China

3. State Grid JiangXi Electric Power Co., Ltd., China

Funder

the science and technology project of State Grid Corporation of China: ?Defense System Design and Key Technologies Research on Cyber Security of New Power System?

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3672121.3672130

Reference13 articles.

1. J X Li, Y C Qi Challenges and Development of Novel Power System [J]. Hongshui River,2023,42(04):77-80.

2. Ying Feihong. Research on Recognition Technology of Intelligent Internetof Things Devices [D],XIDIAN UNIVERSITY, 2021.

3. Yu JianJiang. IoT Device Identification and Anomaly Detection based on Traffic[D]. Central South University,2022.

4. Analyzing the Feasibility and Generalizability of Fingerprinting Internet of Things Devices

5. [10]K. Bobrovnikova, S. Lysenko, P. Gaj, Technique for IoT Cyberattacks Detection Based on DNS Traffic Analysis[J]. CERU, 2020, 2623:19.

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