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Empirical evaluation of the visiOn privacy platform

Chapter
Publication Date:
2020
Short description:
(2020). Empirical evaluation of the visiOn privacy platform . Retrieved from https://hdl.handle.net/10446/324072
abstract:
While previous chapters of this book describe the components and the architecture oftheVisiOnPrivacyPlatform(VPP), thischapter focuseson its evaluation. Evaluation is a central activity in any software development life cycle since al- lows to verify if requirements, defined for the software, are satisfied. We evaluated the VPP with empirical experiments on different domains, in order to evaluate the performanceoftheplatformwithdifferentstakeholdersandindifferentcontexts.In particular, we selected three domains where sensitive/personal data and privacy are key factors; we integrated the VPP in existing Public Administration (PA) information Systems and we evaluated the main aspects of the platform recruiting Public Administration(PA) employees and citizens. The objectives of such experiments are not limited to the evaluation, they also aimed to advertise the platform to both citizens and PA employees, and to raise awareness towards the value of (sensitive) dataandprivacyin general. The selected domains are: • healthcare:twohospitalsOspedalePediatricoBambinoGesu’(OPBG)andHos- pital Infantil Universitario Niño Jesus (HIUNJ) evaluated VPP in a cross border telemedicine scenario; • municipality: DAEM, a company that manages the Athens’ services to citizens, evaluatedtheVPP inascenario wherecitizens use services ofthe city; • tax refund: the Italian ministry for the economic development (MiSE) evaluated VPPina scenario where companies requesttax refund. Therestofthechapterisorganizedinthreesectionswhereeachempiricalexper- iment is described in detail, and in a final, concluding, section. The data set of the empiricalexperimentsforthethreedomains is freely available[16].
Iris type:
1.2.01 Contributi in volume (Capitoli o Saggi) - Book Chapters/Essays
List of contributors:
Bonutto, D.; Christantoni, I.; Kosmidis, D.; Micucci, F.; Salnitri, Mattia
Authors of the University:
SALNITRI Mattia
Handle:
https://aisberg.unibg.it/handle/10446/324072
Book title:
Visual Privacy Management. Design and Applications of a Privacy-Enabling Platform
Published in:
LECTURE NOTES IN COMPUTER SCIENCE
Series
  • Research

Research

Concepts (2)


PE6_5 - Security, privacy, cryptology, quantum cryptography - (2024)

Settore IINF-05/A - Sistemi di elaborazione delle informazioni
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