@inproceedings{06f252497e024514a27392c6e0dfba58,
title = "E-PPI: Locator service in information networks with personalized privacy preservation",
abstract = "In emerging information networks, having a privacy pre-serving index (or PPI) is critically important for locating information of interest for data sharing across autonomous providers while preserving privacy. An understudied problem for PPI techniques is how to provide controllable privacy preservation, given the innate difference of privacy concerns regarding different data owners. In this paper we present a personalized privacy preserving index, coined ε-PPI, which guarantees quantitative privacy preservation differentiated by personal identities. We devise a new common-identity attack that breaks existing PPI's and propose an identity-mixing protocol against the attack in ε-PPI. The proposed ε-PPIconstruction protocol is the first without any trusted third party and/or trust relationships between providers. We have implemented our ε-PPI construction protocol by using generic MPC techniques (secure multi-party computation) and optimized the performance to a practical level by minimizing the expensive MPC part.",
keywords = "database, health informatics, information sharing, mpc, privacy preservation, record locator service, secret sharing, secure computation",
author = "Yuzhe Tang and Ling Liu and Arun Iyengar and Kisung Lee and Qi Zhang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014 ; Conference date: 30-06-2014 Through 03-07-2014",
year = "2014",
month = aug,
day = "29",
doi = "10.1109/ICDCS.2014.27",
language = "English (US)",
series = "Proceedings - International Conference on Distributed Computing Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "186--197",
booktitle = "Proceedings - International Conference on Distributed Computing Systems",
}