Multilevel identity fine authentication method based on time-frequency domain feature extraction in industrial internet of things system-Reference-Cited by-同舟云学术

Multilevel identity fine authentication method based on time-frequency domain feature extraction in industrial internet of things system

Published:2024-10-22 Issue: Volume: Page:1-14
ISSN:2330-7706
Container-title:Journal of Control and Decision
language:en
Short-container-title:Journal of Control and Decision

Author:

Yang Li¹²,Wen Chenglin³

Affiliation:

1. School of Engineering, Huzhou University, Huzhou, Zhejiang, People's Republic of China

2. Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou, People's Republic of China

3. School of Guangdong University of Petrochemical Technology, Maoming, People's Republic of China

Funder

Natural Science Foundation of Huzhou

National Natural Science Foundation of China

Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems

Opening Project of Guangdong Provincial Key Lab of Robotics and Intelligent System

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23307706.2024.2408308

Reference24 articles.

1. Ahmed C. M. Ochoa M. Zhou J. Mathur A. P. Qadeer R. Murguia C. & Ruths J. (2018). Noiseprint: Attack detection using sensor and process noise fingerprint in cyber physical systems. In Proceedings of the 2018 on Asia conference on computer and communications security (pp. 483–497).

2. Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses

3. A Framework for Modeling and Structural Vulnerability Analysis of Spatial Cyber-Physical Power Systems From an Attack–Defense Perspective

4. Combinatorial Analysis for Securing IoT-Assisted Industry 4.0 Applications From Vulnerability-Based Attacks

5. IEEE Transactions on Control of Network Systems

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1. Cross-layer optimization using Taylor-Multi-Verse Dragonfly Algorithm to support interoperability in heterogeneous Internet of Things network;Journal of Control and Decision;2024-12-11