Privacy Preserving Reconstruction-based Techniques and Randomisation-based Methods for Calculating Surveys' Statistics and Participants Sampling in Deliberative Consultations

Piotr Andruszkiewicz


In deliberative consultations, the most important are the opinions of residents that want to discuss an important issue. In order to encourage them to participate in such consultations, besides the Internet platform that facilitates the whole process of consultations, privacy preserving techniques should be employed. In this paper, we propose a framework for privacy incorporation in deliberative consultation that will improve eGovernment services provided for digital society. We present the solution for reconstruction-based privacy preserving technique and randomisation-based methods. The proposed framework enables a scientist to prepare a list of candidates and calculate statistics over privacy preserved survey data in deliberative consultations.
Author Piotr Andruszkiewicz II
Piotr Andruszkiewicz,,
- The Institute of Computer Science
Publication size in sheets0.55
Book Berntzen Lasse, Perry Mark (eds.): The Tenth International Conference on Digital Society (ICDS 2016), 2016, IARIA, ISBN 978-1-61208-521-0, 89 p.
Keywords in EnglishPrivacy Preserving; Reconstruction-based techniques; Randomisation-based methods; deliberative consultations
projectNew perspectives in dialogue: a model of deliberation and IT tools for social inclusion in decision-making. Project leader: Andruszkiewicz Piotr, , Phone: +48 22 234 7715, start date 16-07-2014, end date 31-08-2016, II/2014/NCBiR/1, Completed
WEiTI Projects financed by NCRD [Projekty finansowane przez NCBiR (NCBR)]
Development of new algorithms in the areas of software and computer architecture, artificial intelligence and information systems and computer graphics . Project leader: Rybiński Henryk, , Phone: +48 22 234 7731, start date 18-05-2015, end date 30-11-2016, II/2015/DS/1, Completed
WEiTI Działalność statutowa
Languageen angielski
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Score (nominal)15
ScoreMinisterial score = 15.0, 27-03-2017, BookChapterMatConf
Ministerial score (2013-2016) = 15.0, 27-03-2017, BookChapterMatConf
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