BetterTimes: Privacy-assured Outsourced Multiplications for Additively Homomorphic Encryption on Finite Fields
Kapitel i bok, 2015

We present a privacy-assured multiplication protocol using which an arbitrary arithmetic formula with inputs from two parties over a finite field F-p can be jointly computed on encrypted data using an additively homomorphic encryption scheme. Our protocol is secure against malicious adversaries. To motivate and illustrate applications of this technique, we demonstrate an attack on a class of known protocols showing how to compromise location privacy of honest users by manipulating messages in protocols with additively homomorphic encryption. We evaluate our approach using a prototypical implementation. The results show that the added overhead of our approach is small compared to insecure outsourced multiplication.


Per Hallgren

Chalmers, Data- och informationsteknik, Programvaruteknik

Martin Ochoa

Singapore University of Technology and Design

Technische Universität München

Andrei Sabelfeld

Chalmers, Data- och informationsteknik, Programvaruteknik

Lecture Notes in Computer Science



Informations- och kommunikationsteknik


Data- och informationsvetenskap


Grundläggande vetenskaper



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