Improving Method of Anomaly Detection Performance for Industrial IoT Environment-Reference-Cited by-同舟云学术

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Improving Method of Anomaly Detection Performance for Industrial IoT Environment

Published:2022 Issue:3 Volume:72 Page:5377-5394
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Kim Junwon,Shin Jiho,Park Ki-Woong,Taek Seo Jung

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference24 articles.

1. An IIoT based ICS to improve safety through fast and accurate hazard detection and differentiation;Moradbeikie;IEEE Access,2020

2. Toward detection and attribution of cyber-attacks in IoT-enabled cyber-physical systems;Jahromi;IEEE Internet of Things Journal,2021

3. Cloud-assisted IoT-based SCADA systems security: A review of the state of the art and future challenges;Sajid;IEEE Access,2016

4. Secure IoT platform for industrial control systems;Shahzad,2017

5. Industrial IoT, cyber threats, and standards landscape: Evaluation and roadmap;Dhirani;Sensors (SENSORS-BASEL),2021

Cited by 4 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 intrusion detection: a hybrid machine and deep learning approach;Journal of Cloud Computing;2024-07-17

2. Unsupervised Learning Approach for Anomaly Detection in Industrial Control Systems;Applied System Innovation;2024-02-21

3. Securing Critical Infrastructure: A Denoising Data-Driven Approach for Intrusion Detection in ICS Network;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19

4. Era of Sentinel Tech: Charting Hardware Security Landscapes Through Post-Silicon Innovation, Threat Mitigation and Future Trajectories;IEEE Access;2024

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