Intrusion Detection System for Industrial Control Systems Based on Imbalanced Data-Reference-Cited by-同舟云学术

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Intrusion Detection System for Industrial Control Systems Based on Imbalanced Data

Published:2023-03-15 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)
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Author:

Dong Xinrui¹,Lai Yingxu²

Affiliation:

1. Beijing University of Technology,Faculty of Information Technology,Beijing,China

2. Beijing University of Technology, Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education,Faculty of Information Technology,Beijing,China

Funder

Beijing Municipal Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10091924/10091942/10092008.pdf?arnumber=10092008

Reference19 articles.

1. A New Combination Sampling Method for Imbalanced Data

2. Real-Time Short-Term Voltage Stability Assessment Using Combined Temporal Convolutional Neural Network and Long Short-Term Memory Neural Network

3. Cluster Quality based Non-Reductional (CQNR) oversampling technique and effector protein predictor based on 3D structure (EPP3D) of proteins

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