Stacked-Autoencoder Based Anomaly Detection with Industrial Control System

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing - Studies in Computational Intelligence ◽

10.1007/978-3-030-67008-5_15 ◽

2021 ◽

pp. 181-191

Author(s):

Doyeon Kim ◽

Chanwoong Hwang ◽

Taejin Lee

Keyword(s):

Control System ◽

Anomaly Detection ◽

Industrial Control System ◽

Industrial Control ◽

Stacked Autoencoder

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Research and Application of Anomaly Detection of Industrial Control System Based on Improved Zoe Algorithm

Cyberspace Safety and Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37337-5_1 ◽

2019 ◽

pp. 3-12

Author(s):

Xin Xie ◽

Bin Wang ◽

Tiancheng Wan ◽

Xunyi Jiang ◽

Weiru Wang ◽

...

Keyword(s):

Control System ◽

Anomaly Detection ◽

Industrial Control System ◽

Industrial Control

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An Ensemble Learning Method with Feature Fusion for Industrial Control System Anomaly Detection

10.1109/ccdc52312.2021.9602724 ◽

2021 ◽

Author(s):

Jianyou Xu ◽

Wei Shi ◽

Shuo Zhang

Keyword(s):

Control System ◽

Anomaly Detection ◽

Ensemble Learning ◽

Feature Fusion ◽

Learning Method ◽

Industrial Control System ◽

Industrial Control

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Study on Anomaly Detection Technique in an Industrial Control System Based on Machine Learning

10.1145/3440943.3444743 ◽

2020 ◽

Author(s):

Janghoon Kim ◽

Hyunpyo Choi ◽

Jiho Shin ◽

Jung Taek Seo

Keyword(s):

Machine Learning ◽

Control System ◽

Anomaly Detection ◽

Detection Technique ◽

Industrial Control System ◽

Industrial Control

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Research on Network Traffic Anomaly Detection of Source-Network-Load Industrial Control System Based on GRU-OCSVM

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/300/4/042043 ◽

2019 ◽

Vol 300 ◽

pp. 042043

Author(s):

Xuesong Huo ◽

Kehe Wu ◽

Weiwei Miao ◽

Liming Wang ◽

Hui He ◽

...

Keyword(s):

Control System ◽

Anomaly Detection ◽

Network Traffic ◽

Industrial Control System ◽

Industrial Control ◽

Network Load ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

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Whitelist-Based Anomaly Detection for Industrial Control System Security

The Journal of Korean Institute of Communications and Information Sciences ◽

10.7840/kics.2013.38b.8.641 ◽

2013 ◽

Vol 38B (8) ◽

pp. 641-653 ◽

Author(s):

Hyunguk Yoo ◽

Jeong-Han Yun ◽

Taeshik Shon

Keyword(s):

Control System ◽

Anomaly Detection ◽

System Security ◽

Industrial Control System ◽

Industrial Control ◽

Industrial Control System Security

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CNN-based anomaly detection for packet payloads of industrial control system

International Journal of Sensor Networks ◽

10.1504/ijsnet.2021.115440 ◽

2021 ◽

Vol 36 (1) ◽

pp. 36

Author(s):

Joo Yeop Song ◽

Rajib Paul ◽

Jeong Han Yun ◽

Hyoung Chun Kim ◽

Young June Choi

Keyword(s):

Control System ◽

Anomaly Detection ◽

Industrial Control System ◽

Industrial Control

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Cross-domain Anomaly Detection for Power Industrial Control System

2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) ◽

10.1109/iceiec49280.2020.9152334 ◽

2020 ◽

Author(s):

Yanjie Li ◽

Xiaoyu Ji ◽

Chenggang Li ◽

Xiaofeng Xu ◽

Wei Yan ◽

...

Keyword(s):

Control System ◽

Anomaly Detection ◽

Industrial Control System ◽

Industrial Control ◽

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An Improved Industrial Control System Device Logs Processing Method for Process-Based Anomaly Detection

2019 International Conference on Frontiers of Information Technology (FIT) ◽

10.1109/fit47737.2019.00037 ◽

2019 ◽

Author(s):

Mukhtar Hussain ◽

Ernest Foo ◽

Suriadi Suriadi

Keyword(s):

Control System ◽

Anomaly Detection ◽

Processing Method ◽

Industrial Control System ◽

Industrial Control

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EPCAD: Efficient and Privacy-Preserving Data Anomaly Detection Scheme for Industrial Control System Networks

Journal of Physics Conference Series ◽

10.1088/1742-6596/1856/1/012028 ◽

2021 ◽

Vol 1856 (1) ◽

pp. 012028

Author(s):

Hanjun Gao ◽

Liang Yuan ◽

Fei Yin ◽

Gang Shen

Keyword(s):

Control System ◽

Anomaly Detection ◽

Privacy Preserving ◽

Industrial Control System ◽

Industrial Control ◽

Detection Scheme

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Evaluation of Data Preprocessing Techniques for Anomaly Detection Systems in Industrial Control System

DAAAM Proceedings - Proceedings of the 30th International DAAAM Symposium 2019 ◽

10.2507/30th.daaam.proceedings.101 ◽

2019 ◽

pp. 0738-0745

Author(s):

Jan Vavra ◽

Martin Hromada

Keyword(s):

Control System ◽

Anomaly Detection ◽

Data Preprocessing ◽

Industrial Control System ◽

Industrial Control ◽

Detection Systems ◽

Evaluation Of Data

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