Deep learning techniques used for the detection of fraudulent activities within the ethereum network
Crossref DOI link: https://doi.org/10.1007/s10586-025-05747-6
Published Online: 2025-10-27
Published Print: 2025-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Alkhatib, Khalid
Al Ayoub, Fares
Marji, Qais
Text and Data Mining valid from 2025-10-27
Version of Record valid from 2025-10-27
Article History
Received: 22 October 2024
Revised: 15 August 2025
Accepted: 7 September 2025
First Online: 27 October 2025
Declarations
:
: The authors declare no competing interests.