publication . Conference object . Part of book or chapter of book . 2016

A Peer-to-Peer Protocol and System Architecture for Privacy-Preserving Statistical Analysis

Zamani, Katerina; Charalambidis, Angelos; Konstantopoulos, Stasinos; Dagioglou, Maria; Karkaletsis, Vangelis;
Open Access
  • Published: 31 Aug 2016
Abstract
Part 2: Special Session on Privacy Aware Machine Learning for Health Data Science (PAML 2016); International audience; The insights gained by the large-scale analysis of health-related data can have an enormous impact in public health and medical research, but access to such personal and sensitive data poses serious privacy implications for the data provider and a heavy data security and administrative burden on the data consumer. In this paper we present an architecture that fills the gap between the statistical tools ubiquitously used in medical research on the one hand, and privacy-preserving data mining methods on the other. This architecture foresees the pr...
Subjects
free text keywords: Privacy-Preserving statistical analysis, Secure summation protocol, Statistical processing of health records, [INFO]Computer Science [cs], [SHS.INFO]Humanities and Social Sciences/Library and information sciences, Medical research, Architecture, Visualization, Data security, Peer-to-Peer Protocol, Statistical analysis, Systems architecture, Computer science, Computer security, computer.software_genre, computer, Reference implementation
Funded by
EC| RADIO
Project
RADIO
Robots in assisted living environments: Unobtrusive, efficient, reliable and modular solutions for independent ageing
  • Funder: European Commission (EC)
  • Project Code: 643892
  • Funding stream: H2020 | RIA
Communities
Digital Humanities and Cultural Heritage
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publication . Conference object . Part of book or chapter of book . 2016

A Peer-to-Peer Protocol and System Architecture for Privacy-Preserving Statistical Analysis

Zamani, Katerina; Charalambidis, Angelos; Konstantopoulos, Stasinos; Dagioglou, Maria; Karkaletsis, Vangelis;