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POSTER: MPClan: Protocol suite for privacy-conscious computations

Kotila, Nishat ; Patil, Shravani ; Patra, Arpita ; Suresh, Ajith (2022)
POSTER: MPClan: Protocol suite for privacy-conscious computations.
CCS '22: ACM SIGSAC Conference on Computer and Communications Security. Los Angeles, USA (07.-11.11.2022)
doi: 10.1145/3548606.3563496
Conference or Workshop Item, Bibliographie

Abstract

The growing volumes of data collected and its analysis to provide better services create worries about digital privacy. The literature has relied on secure multiparty computation techniques to address privacy concerns and give practical solutions. However, recent research has mostly focused on the small-party honest-majority setting of up to four parties, noting efficiency concerns. In this work, we extend the strategies to support a larger number of participants in honest-majority setting with efficiency at the center stage.

Designed in the preprocessing paradigm, our semi-honest protocol improves the online complexity of the decade-old state-of-the-art protocol of Damgård and Nielson (CRYPTO'07). In addition to having an improved online communication cost, we can shut down almost half of the parties in the online phase, thereby saving up to 50% in the system's operational costs. Our maliciously secure protocol also enjoys similar benefits and requires only half of the parties, except for a one-time verification, towards the end.

We benchmark popular applications such as deep neural networks, graph neural networks and genome sequence matching using prototype implementations to showcase the practicality of the designed protocols. Our improved protocols aid in bringing up to 60-80% savings in monetary cost over prior work.

Item Type: Conference or Workshop Item
Erschienen: 2022
Creators: Kotila, Nishat ; Patil, Shravani ; Patra, Arpita ; Suresh, Ajith
Type of entry: Bibliographie
Title: POSTER: MPClan: Protocol suite for privacy-conscious computations
Language: English
Date: 7 November 2022
Publisher: ACM
Book Title: CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
Event Title: CCS '22: ACM SIGSAC Conference on Computer and Communications Security
Event Location: Los Angeles, USA
Event Dates: 07.-11.11.2022
DOI: 10.1145/3548606.3563496
URL / URN: https://dl.acm.org/doi/abs/10.1145/3548606.3563496
Abstract:

The growing volumes of data collected and its analysis to provide better services create worries about digital privacy. The literature has relied on secure multiparty computation techniques to address privacy concerns and give practical solutions. However, recent research has mostly focused on the small-party honest-majority setting of up to four parties, noting efficiency concerns. In this work, we extend the strategies to support a larger number of participants in honest-majority setting with efficiency at the center stage.

Designed in the preprocessing paradigm, our semi-honest protocol improves the online complexity of the decade-old state-of-the-art protocol of Damgård and Nielson (CRYPTO'07). In addition to having an improved online communication cost, we can shut down almost half of the parties in the online phase, thereby saving up to 50% in the system's operational costs. Our maliciously secure protocol also enjoys similar benefits and requires only half of the parties, except for a one-time verification, towards the end.

We benchmark popular applications such as deep neural networks, graph neural networks and genome sequence matching using prototype implementations to showcase the practicality of the designed protocols. Our improved protocols aid in bringing up to 60-80% savings in monetary cost over prior work.

Uncontrolled Keywords: Engineering, E4, ATHENE
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Kryptographische Protokolle
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1119: CROSSING – Cryptography-Based Security Solutions: Enabling Trust in New and Next Generation Computing Environments
Date Deposited: 21 Mar 2023 08:35
Last Modified: 05 Jul 2023 12:19
PPN: 509302491
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