From asset flow to status, action, and intention discovery: Early malice detection in cryptocurrency

• Main Authors: CHENG, Ling, ZHU, Feida, WANG, Yong, LIANG, Ruicheng, LIU, Huiwen
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Blockchain; Cryptocurrency; data mining; fraud detection; early detection; Databases and Information Systems; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/9426; https://ink.library.smu.edu.sg/context/sis_research/article/10426/viewcontent/3626102_pvoa_cc_by.pdf
• Institution: Singapore Management University

Cryptocurrency has been subject to illicit activities probably more often than traditional financial assets due to the pseudo-anonymous nature of its transacting entities. An ideal detection model is expected to achieve all three critical properties of early detection, good interpretability, and ver...