Secure multiparty computation (SMC) has gained tremendous importance with the growth of the Internet and e-commerce, where mutually untrusted parties need to jointly compute a function of their private inputs. However, SMC protocols usually have very high computational complexities, rendering them practically unusable. In this paper, we tackle the problem of comparing two input values in a secure distributed fashion. We propose efficient secure comparison protocols for both the homomorphic encryption and secret sharing schemes. We also give experimental results to show their practical relevance
Secure multi-party computation (MPC) enables mutually distrusting parties to compute securely over t...
Abstract. Secure Multi-party Computation (SMC) enables secure dis-tributed computation of arbitrary ...
Secure multiparty computation enables a set of users to evaluate certain functionalities on their re...
Secure multiparty computation (SMC) has gained tremendous importance with the growth of the Internet...
Secure Multiparty Computation (SMC) has gained tremendous importance with the growth of the Internet...
We propose a protocol for secure comparison of integers based on homomorphic encryption.We also prop...
Due to high complexity, comparison protocols with secret inputs have been a bottleneck in the design...
This is the publisher’s final pdf. The published article is copyrighted by the author(s) and publish...
Secure multiparty computation (SMC) allows a set of parties to jointly compute a function on private...
We propose a protocol for secure comparison of integers based on homomorphic encryption. We also pro...
In 1982, Yao introduced the problem of comparing two private values, thereby launching the study of ...
Copyright © 2014 Sankita J. Patel et al. This is an open access article distributed under the Creati...
Abstract. Secure multiparty computation (MPC) allows multiple par-ties to evaluate functions without...
Secure multi-party computation allows us to perform analysis on private data without compromising it...
Secure multi-party computation (MPC) enables mutually distrusting parties to compute securely over t...
Abstract. Secure Multi-party Computation (SMC) enables secure dis-tributed computation of arbitrary ...
Secure multiparty computation enables a set of users to evaluate certain functionalities on their re...
Secure multiparty computation (SMC) has gained tremendous importance with the growth of the Internet...
Secure Multiparty Computation (SMC) has gained tremendous importance with the growth of the Internet...
We propose a protocol for secure comparison of integers based on homomorphic encryption.We also prop...
Due to high complexity, comparison protocols with secret inputs have been a bottleneck in the design...
This is the publisher’s final pdf. The published article is copyrighted by the author(s) and publish...
Secure multiparty computation (SMC) allows a set of parties to jointly compute a function on private...
We propose a protocol for secure comparison of integers based on homomorphic encryption. We also pro...
In 1982, Yao introduced the problem of comparing two private values, thereby launching the study of ...
Copyright © 2014 Sankita J. Patel et al. This is an open access article distributed under the Creati...
Abstract. Secure multiparty computation (MPC) allows multiple par-ties to evaluate functions without...
Secure multi-party computation allows us to perform analysis on private data without compromising it...
Secure multi-party computation (MPC) enables mutually distrusting parties to compute securely over t...
Abstract. Secure Multi-party Computation (SMC) enables secure dis-tributed computation of arbitrary ...
Secure multiparty computation enables a set of users to evaluate certain functionalities on their re...