Comments on "Unconditionally Secure, Universally Composable Privacy Preserving Linear Algebra"

In this paper, we discuss the security of a distributed inner product (DIP) protocol [IEEE Trans. Inf. Forensics Security, 11.1, 59, (2016)]. We show information leakage in this protocol that does not happen in an ideal execution of the DIP functionality. In some scenarios, this information leakage...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on information forensics and security 2020, Vol.15, p.83-84
Main Authors: Siabi, Babak, Berenjkoub, Mehdi
Format: Article
Language:English
Subjects:
Computational modeling
Electronics packaging
Inner product
Linear algebra
Mathematical model
preprocessing model
Privacy
Protocols
secure computation
Security
security analysis
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we discuss the security of a distributed inner product (DIP) protocol [IEEE Trans. Inf. Forensics Security, 11.1, 59, (2016)]. We show information leakage in this protocol that does not happen in an ideal execution of the DIP functionality. In some scenarios, this information leakage enables one of the parties to completely learn the other party's input. We will give examples of such scenarios.
ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2019.2912068