A Comment on Privacy-Preserving Scalar Product Protocols as proposed in "SPOC"

06/11/2019
by   Thomas Schneider, et al.
0

Privacy-preserving scalar product (PPSP) protocols are an important building block for secure computation tasks in various applications. Lu et al. (TPDS'13) introduced a PPSP protocol that does not rely on cryptographic assumptions and that is used in a wide range of publications to date. In this comment paper, we show that Lu et al.'s protocol is insecure and should not be used. We describe specific attacks against it and, using impossibility results of Impagliazzo and Rudich (STOC'89), show that it is inherently insecure and cannot be fixed without employing public-key cryptography.

READ FULL TEXT

page 1

page 2

page 3

research
08/24/2022

On Privacy Preserving Data Aggregation Protocols using BGN cryptosystem

The notion of aggregator oblivious (AO) security for privacy preserving ...
research
05/10/2021

Attacks on a Privacy-Preserving Publish-Subscribe System and a Ride-Hailing Service

A privacy-preserving Context-Aware Publish-Subscribe System (CA-PSS) ena...
research
04/04/2020

Scalar Product Lattice Computation for Efficient Privacy-preserving Systems

Privacy-preserving applications allow users to perform on-line daily act...
research
12/17/2021

Privacy preserving n-party scalar product protocol

Privacy-preserving machine learning enables the training of models on de...
research
05/03/2023

Privacy in Population Protocols with Probabilistic Scheduling

The population protocol model introduced by Angluin et al. in 2006 offer...
research
12/17/2018

Privacy-Preserving Probabilistic Forecasting for Temporal-spatial Correlated Wind Farms

Adopting Secure scalar product and Secure sum techniques, we propose a p...
research
08/08/2023

Fast Fiber Line Extraction for 2D Bivariate Scalar Fields

Extracting level sets from scalar data is a fundamental operation in vis...

Please sign up or login with your details

Forgot password? Click here to reset