Anomaly VAE-Transformer: A Deep Learning Approach for Anomaly Detection in Decentralized Finance
Author:
Affiliation:
1. Department of Computer Science and Engineering, Sungkyunkwan University, Seoul, South Korea
2. Division of Computer Science and Engineering, Kyonggi University, Suwon, South Korea
Funder
Basic Science Research Program through the National Research Foundation of Korea
Ministry of Education
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10244206.pdf?arnumber=10244206
Reference59 articles.
1. Anomaly Detection in Blockchain Networks: A Comprehensive Survey
2. Anomaly detection for time series using temporal convolutional networks and Gaussian mixture model
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5. Blockchain abnormal behavior awareness methods: a survey
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