Supervised learning model for identifying illegal activities in Bitcoin
Supervised learning model for identifying illegal activities in Bitcoin
About this item
Full title
Author / Creator
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Since its inception in 2009, Bitcoin is mired in controversies for providing a haven for illegal activities. Several types of illicit users hide behind the blanket of anonymity. Uncovering these entities is key for forensic investigations. Current methods utilize machine learning for identifying these illicit entities. However, the existing approac...
Alternative Titles
Full title
Supervised learning model for identifying illegal activities in Bitcoin
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_hal_primary_oai_HAL_hal_03028829v2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_03028829v2
Other Identifiers
ISSN
0924-669X
E-ISSN
1573-7497
DOI
10.1007/s10489-020-02048-w
