Attack Detection in Fog Layer for IIoT Based on Machine Learning Approach-Reference-Cited by-同舟云学术

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Attack Detection in Fog Layer for IIoT Based on Machine Learning Approach

Published:2020-10-21 Issue: Volume: Page:
ISSN:
Container-title:2020 International Conference on Information and Communication Technology Convergence (ICTC)
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Author:

Maharani Mareska Pratiwi,Tobianto Daely Philip,Lee Jae Min,Kim Dong-Seong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9289075/9289076/09289380.pdf?arnumber=9289380

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. INVESTIGATION OF DISTRIBUTED MATRIX FACTORISATION EFFICIENCY IN THE INDUSTRIAL SYSTEMS;Information and communication technologies, electronic engineering;2023-09

2. Attack and Anomaly Detection in IIoT Networks Using Machine Learning Techniques;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. An explainable efficient flow-based Industrial IoT intrusion detection system;Computers and Electrical Engineering;2023-05

4. A Modified Federated Singular Value Decomposition Method for Big Data and ML Optimization in IIoT Systems;Emerging Networking in the Digital Transformation Age;2023

5. Deep Learning-based Secure Machine-to-Machine Communication in Edge-Enabled Industrial IoT;2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2022-11-04

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