Anomaly IoT Node Detection Based on Local Outlier Factor and Time Series-Reference-Cited by-同舟云学术

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Anomaly IoT Node Detection Based on Local Outlier Factor and Time Series

Published:2020 Issue:2 Volume:64 Page:1063-1073
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Wang Fang,Wei Zhe,Zuo Xu

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

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

Cited by 5 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. A semisupervised autoencoder-based method for anomaly detection in cutting tools;Journal of Manufacturing Processes;2023-05

2. Unsupervised Anomaly Detection Approach Based on Adversarial Memory Autoencoders for Multivariate Time Series;Computers, Materials & Continua;2023

3. A Fusion Model Based on Dynamic Web Browsing Behavior Analysis for IoT Insider Threat Detection;Sensors;2022-08-28

4. Detecting Anomaly Data for IoT Sensor Networks;Scientific Programming;2022-05-21

5. Robust Frequency Estimation Under Additive Mixture Noise;Computers, Materials & Continua;2022

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