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Poster: Ethics of Computer Security and Privacy Research - Trends and Standards from a Data Perspective

Published:21 November 2023Publication History

ABSTRACT

Ethics is an important criterion for security research. This work presents the current status and trends that security researchers have taken to address ethical concerns in their studies from a data perspective. In particular, we created a dataset of 3,756 papers published in three top-tier conferences between 2010 and 2022, among which 963 papers were identified with ethical concerns. With this dataset, we provided answers to three questions regarding the current practices and trends: (1) What is the landscape of ethical considerations in security research? For example, how many security research projects have raised ethical concerns in their studies, and which research areas are likely to cause ethical risks and concerns? (2) What are the current practices to address these ethical risks? And (3) What are the important factors impacting the ethical awareness of researchers?

References

  1. Michael Bailey, David Dittrich, Erin Kenneally, and Doug Maughan. 2012. The menlo report. IEEE Security & Privacy, Vol. 10, 2 (2012), 71--75.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. ACM CCS. 2018. ACM CCS 2018 Call for papers. https://www.sigsac.org/ccs/CCS2018/papers/Google ScholarGoogle Scholar
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  4. IEEE S&P. 2017. 38th IEEE Symposium on Security and Privacy Call for papers. https://www.ieee-security.org/TC/SP2017/cfpapers.htmlGoogle ScholarGoogle Scholar
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  6. USENIX. 2012. 22nd USENIX Security Symposium Call for papers. https://www.usenix.org/conference/usenixsecurity13/call-for-papersGoogle ScholarGoogle Scholar

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  1. Poster: Ethics of Computer Security and Privacy Research - Trends and Standards from a Data Perspective

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    • Published in

      cover image ACM Conferences
      CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
      November 2023
      3722 pages
      ISBN:9798400700507
      DOI:10.1145/3576915

      Copyright © 2023 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 November 2023

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