Anomalous IoT Sensor Data Detection: An Efficient Approach Enabled by Nonlinear Frequency-Domain Graph Analysis-Reference-Cited by-同舟云学术

Anomalous IoT Sensor Data Detection: An Efficient Approach Enabled by Nonlinear Frequency-Domain Graph Analysis

Published:2021-03-01 Issue:5 Volume:8 Page:3812-3821
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Xiao Zhenlong¹^ORCID,Fang He²^ORCID,Wang Xianbin²^ORCID

Affiliation:

1. Department of Information and Communication Engineering, School of Informatics, and the Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, Xiamen, China

2. Department of Electrical and Computer Engineering, Western University, London, Canada

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province of China

Discovery Program of the Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9358034/09199823.pdf?arnumber=9199823

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