Towards transparency-encouraging partial software disclosure to enable trust in data usage


Schindler, Christian



DOI: https://doi.org/10.1145/3324884.3415282
URL: https://conf.researchr.org/details/ase-2020/ase-20...
Additional URL: https://conf.researchr.org/track/ase-2020/ase-2020...
Document Type: Conference or workshop publication
Year of publication: 2020
Book title: ASE 2020 : 35th IEEE/ACM International Conference on Automated Software Engineering : Mon 21 - Fri 25 September 2020, Melbourne, Australia : Doctoral Symposium
Page range: 1-3
Conference title: ASE 2020
Location of the conference venue: Online
Date of the conference: 21.-25.09.2020
Publisher: Di Penta, Massimiliano
Place of publication: New York, NY
Publishing house: Association for Computing Machinery
Publication language: English
Institution: Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
Subject: 004 Computer science, internet
Abstract: Whenever software components process personal or private data, appropriate data protection mechanisms are mandatory. An essential factor in achieving trust and transparency is not to give preference to a single party but to make it possible to audit the data usage in an unbiased way. The scenario in mind for this contribution contains (i) users bringing in sensitive data they want to be safe, (ii) developers building software-based services whose Intellectual Properties (IPs) they desire to protect, and (iii) platform providers wanting to be trusted and to be able to rely on the developers integrity. The authors see these interests as an insufficiently solved field of tension that can be relaxed by a suitable level of transparently represented software components to give insights without exposing every detail.
Additional information: Online-Ressource

Dieser Eintrag ist Teil der Universitätsbibliographie.




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ORCID: Schindler, Christian ORCID: 0000-0002-2378-9273

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