%0 Conference Proceedings
%T Privacy-Preserving Two-Party Skyline Queries Over Horizontally Partitioned Data
%+ North Carolina State University [Raleigh] (NC State)
%+ Hamad Bin Khalifa University (HBKU)
%A Chen, Ling
%A Yu, Ting
%A Chirkova, Rada
%Z Part 4: Access Control and Data Protection
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 10th IFIP International Conference on Information Security Theory and Practice (WISTP)
%C Heraklion, Greece
%Y Sara Foresti
%Y Javier Lopez
%I Springer International Publishing
%3 Information Security Theory and Practice
%V LNCS-9895
%P 187-203
%8 2016-09-26
%D 2016
%R 10.1007/978-3-319-45931-8_12
%Z Computer Science [cs]Conference papers
%X Skyline queries are an important type of multi-criteria analysis with diverse applications in practice (e.g., personalized services and intelligent transport systems). In this paper, we study how to answer skyline queries efficiently and in a privacy-preserving way when the data are sensitive and distributedly owned by multiple parties. We adopt the classical honest-but-curious attack model, and design a suite of efficient protocols for skyline queries over horizontally partitioned data. We analyze in detail the efficiency of each of the proposed protocols as well as their privacy guarantees.
%G English
%Z TC 11
%Z WG 11.2
%2 https://inria.hal.science/hal-01639604/document
%2 https://inria.hal.science/hal-01639604/file/421627_1_En_12_Chapter.pdf
%L hal-01639604
%U https://inria.hal.science/hal-01639604
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC11
%~ IFIP-WISTP
%~ IFIP-WG11-2
%~ IFIP-LNCS-9895