A Novel Self-Supervised Learning-Based Anomalous Node Detection Method Based on an Autoencoder for Wireless Sensor Networks-Reference-Cited by-同舟云学术

A Novel Self-Supervised Learning-Based Anomalous Node Detection Method Based on an Autoencoder for Wireless Sensor Networks

Author:

Ye Miao¹^ORCID,Zhang Qinghao¹^ORCID,Xue Xingsi²^ORCID,Wang Yong¹^ORCID,Jiang Qiuxiang¹^ORCID,Qiu Hongbing¹^ORCID

Affiliation:

1. School of Information and Communication, Guilin University of Electronic Technology, Guilin, China

2. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China

Funder

National Natural Science Foundation of China

Innovation Project of Guangxi Graduate Education

Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing

Ministry of Education Key Laboratory of Cognitive Radio and Information Processing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference40 articles.

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