ML-assisted Security for Anomaly Detection in Industrial IoT (IIoT) Applications-Reference-Cited by-同舟云学术

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ML-assisted Security for Anomaly Detection in Industrial IoT (IIoT) Applications

Published:2023-08-18 Issue: Volume:2021 Page:1120-1127
ISSN:
Container-title:2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon)
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Author:

Konatham Bharath Reedy¹,Simra Tabassum¹,Ghimire Ashutosh¹,Amsaad Fathi¹,Ibrahem Mohamed I.²,Jhanjhi N Z³

Affiliation:

1. Wright State University,Department of Computer Science and Engineering,Dayton,Ohio

2. George Mason University,Department of Cyber Security Engineering,Fairfax,Virginia

3. Taylor’s University,School of Computer Science, SCS,Subang Jaya,Malaysia,47500

Funder

Wright State University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391093/10391094/10391331.pdf?arnumber=10391331

Reference23 articles.

1. Anomaly Detection: A Survey

2. A survey of network anomaly detection techniques

3. Deep learning for anomaly detection: A survey;Chalapathy,2019

4. Deep learning in neural networks: An overview

5. Long Short-Term Memory

Cited by 2 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. Enhancing Anomaly Detection of IoT using Knowledge-Based and Federated Deep Learning;2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI);2024-04-13

2. Digital Twins and Green Paths;Advances in Logistics, Operations, and Management Science;2024-04-12

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