Abstract
Privacy-preserving data aggregation is growing in popularity due to the increasing amount of online services depending on user data. This information is privacy-sensitive, warranting the need for protection during data-processing. A wide variety of approaches have been considered to achieve privacy during the processing. Examples include differential privacy, masking, cryptographic techniques (e.g. using homomorphic encryption which enables data processing under encryption). In recent works, several approaches employing the latter privacy-preserving technique has been proposed that is proven to be secure in terms of sensitive data protection. However, the research mainly focuses mostly on efficiency rather than on the selected network topology. In contrast to existing work, we consider a decentralized network, where data can be aggregated without the presence of a central authority, such as an aggregator. We propose two novel protocols based on homomorphic encryption and secret sharing, respectively. Our analyses confirm our claims regarding high efficiency, scalability, and security.
Original language | English |
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Title of host publication | 2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) |
Editors | Aydin Cetin |
Publisher | IEEE |
Pages | 76-80 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-7281-1315-9 |
ISBN (Print) | 78-1-7281-1316-6 |
DOIs | |
Publication status | Published - 2019 |
Event | 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Istanbul, Turkey Duration: 25 Apr 2019 → 26 Apr 2019 |
Conference
Conference | 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 25/04/19 → 26/04/19 |
Keywords
- Applied cryptography
- Decentralized networks
- Information security
- Smart grids