Analysis of anomaly detection method for Internet of things based on deep learning-Reference-Cited by-同舟云学术

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Analysis of anomaly detection method for Internet of things based on deep learning

Published:2020-04-16 Issue:12 Volume:31 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Ma Wei¹²³^ORCID

Affiliation:

1. School of Information Science and Technology Zhengzhou Normal University Zhengzhou China

2. School of Information Engineering North China University of Water Resources and Electric Power Zhengzhou China

3. School of Information Engineering Zhengzhou University Zhengzhou China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.3893

Reference30 articles.

1. Eucalyptus: an open-source cloud computing infrastructure

2. Research and Application of Acoustic Emission Signal Processing Technology

3. Experimental Study on Calcining Process of Secondary Coated Ceramsite Solidified Chromium Contaminated Soil

4. Bolt loosening analysis and diagnosis by non-contact laser excitation vibration tests

5. A network‐based anomaly detection system based on three different network traffic characteristics;Waizumi Y;Commun Comput Chin,2012

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