OBiLSTM-Based Intrusion Detection Method for Industrial Internet of Things-Reference-Cited by-同舟云学术

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OBiLSTM-Based Intrusion Detection Method for Industrial Internet of Things

Published:2023-08-18 Issue: Volume: Page:189-196
ISSN:
Container-title:2023 8th International Conference on Data Science in Cyberspace (DSC)
language:
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Author:

Xu Shuai¹,Peng Xinyong²,Huang Dandan³,Yang ChangSong¹,Ding Yong¹,Liang Hai¹

Affiliation:

1. GuiLin University of Electronic Technology,Guangxi Key Laboratory of Cryptography and Information Security,Guilin,China

2. Joint Innovation Laboratory of Digital Guangxi Smart Infrastructures,Nanning,China

3. China Mobile Group Guangxi Co Ltd Nanning Branch,Nanning,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10380805/10380970/10381155.pdf?arnumber=10381155

Reference31 articles.

1. Feasibility Study to Preserve the Health of an Industry 4.0 Worker: a Radar System for Monitoring the Sitting-Time

2. Industry 4.0–Technological Revolution and Sustainable Firm Performance

3. A Unified Architectural Approach for Cyberattack-Resilient Industrial Control Systems

4. Deep Learning Approach for Intelligent Intrusion Detection System

5. Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues

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