A Survey on Blockchain Anomaly Detection Using Data Mining Techniques
作者： Ji Li , Chunxiang Gu , Fushan Wei , Xi Chen
DOI: 10.1007/978-981-15-2777-7_40
关键词:
摘要: With the more and more extensive application of blockchain, blockchain security has been widely concerned by the society and deeply studied by scholars, of which anomaly detection is an important problem. Data mining techniques, including conventional machine learning, deep learning and graph learning, have been concentrated for anomaly detection in the last few years. This paper presents a systematic survey of the blockchain anomaly detection results using data mining techniques. The anomaly detection methods are classified into 2 …
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