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Cited by 2Information and Cyber SecurityAcademic integrity and plagiarismQualitative Research Methods and Ethics

Empirical Research and Research Ethics in Information Security

Weippl, Edgar, Schrittwieser, Sebastian, Rennert, Sylvi·2017·Communications in Computer and Information Science
DOI 10.1007/978-3-319-54433-5_2
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Crossref · 10.1007/978-3-319-54433-5_2

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1 of 1 references verified0 citation errors · 0 not checkable

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  • Using honeypots to evaluate a fake activity detector raises ethical concerns because it would fund malicious actors and create spam for other developers.

    “they raise ethical concerns [62, 94]: If we were to buy fake stars for a honeypot repository, we would be effectively funding malicious actors and creating spam for other developers.”

    From Six Million (Suspected) Fake Stars on GitHub: A Growing Spiral of Popularity Contests, Spams, and Malware (2026) · cites this paper as [94]

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Authors
Weippl, E., Schrittwieser, S., & Rennert, S.
Affiliations
SBA Research (AT)
Corresponding author
Weippl, Edgar
ORCID
Venue
Communications in Computer and Information Science
Publisher
Springer International Publishing
Published
2017
Pages
14-22
ISSN
  • 1865-0929 (ISSN-L)
  • 1865-0937
DOI
10.1007/978-3-319-54433-5_2
OpenAlex
W2588070888
Cited by
2
References
1
Citations by year
2026: 1 · 2019: 1
FWCI
0.21
Type
conference paper
Language
en
Open access
closed
Licence
www.springer.com/tdm (unspecified)
Locations
Communications in computer and information science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Social Sciences › Safety Research › Academic integrity and plagiarism
  • Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
Keywords
research ethics, information security research, empirical research

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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