Back
  1. Home
  3. Detailed Reference
Request a copy
Paper published in a book (Scientific congresses, symposiums and conference proceedings)
A Data Science Approach for Honeypot Detection in Ethereum
CAMINO, Ramiro Daniel; FERREIRA TORRES, Christof; BADEN, Mathis et al.
2020 • In 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
Peer reviewed
Permalink
https://hdl.handle.net/10993/43195
 

Files (1)Send toDetailsStatisticsBibliographySimilar publications

Files

Full Text
09169396.pdf
Publisher postprint (203.16 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to


Details


Disciplines :
Computer science
Author, co-author :
CAMINO, Ramiro Daniel ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
FERREIRA TORRES, Christof ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
BADEN, Mathis 
STATE, Radu  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
A Data Science Approach for Honeypot Detection in Ethereum
Publication date :
17 August 2020
Event name :
2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
Event organizer :
IEEE
Event place :
Toronto, Ontario, Canada
Event date :
from 02-05-2020 to 06-05-2020
Audience :
International
Main work title :
2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 12 May 2020

Statistics

Number of views
161 (11 by Unilu)
Number of downloads
2 (1 by Unilu)
More statistics

Bibliography

Similar publications


Contact ORBilu