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Private Data Aggregation in Decentralized Networks. / Setia, Prahesa K.; Tillem, Gamze; Erkin, Zekeriya.

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG). ed. / Aydin Cetin. IEEE, 2019. p. 76-80 8782377.

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Harvard

Setia, PK, Tillem, G & Erkin, Z 2019, Private Data Aggregation in Decentralized Networks. in A Cetin (ed.), 2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)., 8782377, IEEE, pp. 76-80, 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019, Istanbul, Turkey, 25/04/19. https://doi.org/10.1109/SGCF.2019.8782377

APA

Setia, P. K., Tillem, G., & Erkin, Z. (2019). Private Data Aggregation in Decentralized Networks. In A. Cetin (Ed.), 2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) (pp. 76-80). [8782377] IEEE. https://doi.org/10.1109/SGCF.2019.8782377

Vancouver

Setia PK, Tillem G, Erkin Z. Private Data Aggregation in Decentralized Networks. In Cetin A, editor, 2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG). IEEE. 2019. p. 76-80. 8782377 https://doi.org/10.1109/SGCF.2019.8782377

Author

Setia, Prahesa K. ; Tillem, Gamze ; Erkin, Zekeriya. / Private Data Aggregation in Decentralized Networks. 2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG). editor / Aydin Cetin. IEEE, 2019. pp. 76-80

BibTeX

@inproceedings{62284fc643e84d07b199e003fa7270e2,
title = "Private Data Aggregation in Decentralized Networks",
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.",
keywords = "Applied cryptography, Decentralized networks, Information security, Smart grids",
author = "Setia, {Prahesa K.} and Gamze Tillem and Zekeriya Erkin",
year = "2019",
doi = "10.1109/SGCF.2019.8782377",
language = "English",
isbn = "78-1-7281-1316-6",
pages = "76--80",
editor = "Aydin Cetin",
booktitle = "2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)",
publisher = "IEEE",
address = "United States",
note = "7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 ; Conference date: 25-04-2019 Through 26-04-2019",

}

RIS

TY - GEN

T1 - Private Data Aggregation in Decentralized Networks

AU - Setia, Prahesa K.

AU - Tillem, Gamze

AU - Erkin, Zekeriya

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Applied cryptography

KW - Decentralized networks

KW - Information security

KW - Smart grids

UR - http://www.scopus.com/inward/record.url?scp=85070979770&partnerID=8YFLogxK

U2 - 10.1109/SGCF.2019.8782377

DO - 10.1109/SGCF.2019.8782377

M3 - Conference contribution

SN - 78-1-7281-1316-6

SP - 76

EP - 80

BT - 2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)

A2 - Cetin, Aydin

PB - IEEE

T2 - 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019

Y2 - 25 April 2019 through 26 April 2019

ER -

ID: 56741366