Projects per year
Abstract
With the fast development of Internet of Things, huge volume of data is being collected from various sensors and devices, aggregated at gateways, and processed in the cloud. Due to privacy concern, data are usually encrypted before being outsourced to the cloud. However, encryption seriously impedes both computation over the data and sharing of the computation results. Computing maximum and minimum among a data set are two of the most basic operations in machine learning and data mining algorithms. In this paper, we study how to compute maximum and minimum over encrypted data and control the access to the computation result in a privacy-preserving manner. We present four schemes to realize privacy-preserving maximum and minimum computations with flexible access control that can adapt to various application scenarios. We further analyze their security and show their efficiency through extensive evaluations and comparisons with existing work. © 2019 IEEE.
Original language | English |
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Title of host publication | IEEE Global Communications Conference |
Publisher | IEEE |
ISBN (Electronic) | 9781728109626 |
DOIs | |
Publication status | Published - 2019 |
MoE publication type | A4 Article in a conference publication |
Event | IEEE Global Communications Conference - Waikoloa, United States Duration: 9 Dec 2019 → 13 Dec 2019 |
Publication series
Name | IEEE Global Communications Conference |
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ISSN (Print) | 2334-0983 |
Conference
Conference | IEEE Global Communications Conference |
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Abbreviated title | GLOBECOM |
Country/Territory | United States |
City | Waikoloa |
Period | 09/12/2019 → 13/12/2019 |
Keywords
- access control
- attribute-based encryption
- homomorphic encryption
- maximum and minimum
- privacy preservation
Fingerprint
Dive into the research topics of 'Computing Maximum and Minimum with Privacy Preservation and Flexible Access Control'. Together they form a unique fingerprint.Projects
- 2 Finished
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TruSoNet: Digitalizing Trust for Securing Pervasive Social Networking
Yan, Z., Liu, S. & Zhang, L.
01/09/2017 → 31/08/2020
Project: Academy of Finland: Other research funding
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Digitalizing Trust for Securing Pervasive Social Networking
Yan, Z.
01/09/2017 → 31/08/2022
Project: Academy of Finland: Other research funding