@inproceedings{93bd4630c91045dbad5da99d55fb0fed,
title = "Privacy-preserving two-party skyline queries over horizontally partitioned data",
abstract = "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.",
author = "Ling Chen and Ting Yu and Rada Chirkova",
note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2016.; 10th IFIP WG 11.2 International Conference on Information Security Theory and Practice, WISTP 2016 ; Conference date: 26-09-2016 Through 27-09-2016",
year = "2016",
doi = "10.1007/978-3-319-45931-8_12",
language = "English",
isbn = "9783319459301",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "187--203",
editor = "Sara Foresti and Javier Lopez",
booktitle = "Information Security Theory and Practice - 10th IFIP WG 11.2 International Conference, WISTP 2016, Proceedings",
address = "Germany",
}