Secure and efficient multi-party directory publication for privacy-preserving data sharing

Katchaguy Areekijseree, Yuzhe Tang, Ju Chen, Shuang Wang, Arun Iyengar, Balaji Palanisamy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the era of big-data, personal data is produced, collected and consumed at different sites. A public directory connects data producers and consumers over the Internet and should be constructed securely given the privacy-sensitive nature of personal data. This work tackles the research problem of distributed, privacy-preserving directory publication, with strong security and practical efficiency. For proven security, we follow the protocols of secure multi-party computations (MPC). For efficiency, we propose a pre-computation framework that minimizes the private computation and conducts aggressive pre-computation on public data. Several pre-computation policies are proposed with varying degrees of aggressiveness. For systems-level efficiency, the pre-computation is implemented with data parallelism on general-purpose graphics processing units (GPGPU).We apply the proposed scheme to real health-care scenarios for constructing patient-locator services in emerging Health Information Exchange (or HIE) networks. We conduct extensive performance studies on real datasets and with an implementation based on open-source MPC software. With experiments on local and geo-distributed settings, our performance results show that the proposed pre-computation achieves a speedup of more than an order of magnitude without security loss.

Original languageEnglish (US)
Title of host publicationSecurity and Privacy in Communication Networks - 14th International Conference, SecureComm 2018, Proceedings
EditorsYingjiu Li, Bing Chang, Sencun Zhu, Raheem Beyah
PublisherSpringer Verlag
Pages71-94
Number of pages24
ISBN (Print)9783030017002
DOIs
StatePublished - Jan 1 2018
Event14th International EAI Conference on Security and Privacy in Communication Networks, SecureComm 2018 - Singapore, Singapore
Duration: Aug 8 2018Aug 10 2018

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume254
ISSN (Print)1867-8211

Other

Other14th International EAI Conference on Security and Privacy in Communication Networks, SecureComm 2018
CountrySingapore
CitySingapore
Period8/8/188/10/18

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Areekijseree, K., Tang, Y., Chen, J., Wang, S., Iyengar, A., & Palanisamy, B. (2018). Secure and efficient multi-party directory publication for privacy-preserving data sharing. In Y. Li, B. Chang, S. Zhu, & R. Beyah (Eds.), Security and Privacy in Communication Networks - 14th International Conference, SecureComm 2018, Proceedings (pp. 71-94). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 254). Springer Verlag. https://doi.org/10.1007/978-3-030-01701-9_5