TY - GEN
T1 - Privacy - Preserving Multi-Party Conditional Random Selection
AU - Wuller, Stefan
AU - Assadsolimani, Benjamin
AU - Meyer, Ulrike
AU - Forg, Fabian
AU - Wetzel, Susanne
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - The primitive of conditional random selection allows the selection of a data record uniformly at random from the subset of data records that meet a specified condition. In this paper, we extend a previously introduced privacy-preserving two-party protocol (that implements this primitive in the context of passive adversaries) to the multi-party case. Additionally, we provide a comprehensive performance analysis of the newly designed protocol and discuss application scenarios.
AB - The primitive of conditional random selection allows the selection of a data record uniformly at random from the subset of data records that meet a specified condition. In this paper, we extend a previously introduced privacy-preserving two-party protocol (that implements this primitive in the context of passive adversaries) to the multi-party case. Additionally, we provide a comprehensive performance analysis of the newly designed protocol and discuss application scenarios.
UR - http://www.scopus.com/inward/record.url?scp=85078750448&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078750448&partnerID=8YFLogxK
U2 - 10.1109/PST47121.2019.8949044
DO - 10.1109/PST47121.2019.8949044
M3 - Conference contribution
AN - SCOPUS:85078750448
T3 - 2019 17th International Conference on Privacy, Security and Trust, PST 2019 - Proceedings
BT - 2019 17th International Conference on Privacy, Security and Trust, PST 2019 - Proceedings
A2 - Ghorbani, Ali
A2 - Ray, Indrakshi
A2 - Lashkari, Arash Habibi
A2 - Zhang, Jie
A2 - Lu, Rongxing
T2 - 17th International Conference on Privacy, Security and Trust, PST 2019
Y2 - 26 August 2019 through 28 August 2019
ER -