A Data Science Approach for Honeypot Detection in Ethereum

Reference : A Data Science Approach for Honeypot Detection in Ethereum


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/43195

Title :	A Data Science Approach for Honeypot Detection in Ethereum
Language :	English
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) > >]
Publication date :	17-Aug-2020
Main document title :	2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
Peer reviewed :	Yes
Audience :	International
Event name :	2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
Event date :	from 02-05-2020 to 06-05-2020
Event organizer :	IEEE
Event place (city) :	Toronto, Ontario
Event country :	Canada
Permalink :	http://hdl.handle.net/10993/43195

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