If you like me, please don’t “like” me: inferring vendor Bitcoin addresses from positive reviews

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DOI:	https://doi.org/10.2478/popets-2022-0022
URL:	https://petsymposium.org/popets/2022/popets-2022-0...
Additional URL:	https://www.researchgate.net/publication/356421241...
URN:	urn:nbn:de:bsz:180-madoc-663285
Document Type:	Conference or workshop publication
Year of publication:	2022
The title of a journal, publication series:	Proceedings on Privacy Enhancing Technologies : PoPETs
Volume:	2022
Issue number:	1
Page range:	440-459
Conference title:	22nd Privacy Enhancing Technologies Symposium
Location of the conference venue:	Sydney, Australia, Hybrid
Date of the conference:	11.-15.07.2022
Place of publication:	Warsaw, Poland
Publishing house:	De Gruyter Open
ISSN:	2299-0984
Related URLs:	https://petsymposium.org/2022/
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Practical Computer Science IV: Dependable Systems Engineering (Armknecht 2015-)
Pre-existing license:	Creative Commons Attribution, Non-Commercial, No Derivatives 4.0 International (CC BY-NC-ND 4.0)
Subject:	004 Computer science, internet

	Dieser Eintrag ist Teil der Universitätsbibliographie.
	Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.

BASE: Schäfer, Jochen ; Müller, Christian ; Armknecht, Frederik

Google Scholar: Schäfer, Jochen ; Müller, Christian ; Armknecht, Frederik

ORCID: Schäfer, Jochen ; Müller, Christian ; Armknecht, Frederik

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