TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using Memory-Augmented Autoencoder

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Honghao Gao

School of Computer Engineering and Science, Shanghai University, Shanghai, China
Binyang Qiu

School of Computer Engineering and Science, Shanghai University, Shanghai, China
Ramón J. Durán Barroso

Faculty of Telecommunication Engineering, University of Valladolid, Valladolid, Spain
Walayat Hussain

Victoria University Business School, Victoria University, Melbourne, VIC, Australia
Yueshen Xu

School of Computer Science and Technology, Xidian University, Xi’an, China
Xinheng Wang

School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China

Journal

IEEE Transactions on Network Science and Engineering

IEEE Transactions on Network Science and Engineering 10 (5), 2978-2990, 2023-09-01

Institute of Electrical and Electronics Engineers (IEEE)

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