SMC-MuSe: A Framework for Secure Multi-Party Computation on MultiSets

نویسندگان

  • Georg Neugebauer
  • Ulrike Meyer
  • Susanne Wetzel
چکیده

Secure Multi-Party Computation (SMC) offers a theoretically wellfounded way to enable applications that preserve their users’ privacy. However, the practical use of SMC has often been questioned in the past. This is partly due to the fact that the system assumptions made in theory are hard to meet in practice and partly due to the potentially very high overhead general purpose SMC frameworks induce on clients. In this report, we aim at bringing SMC closer to regular Internet users. We introduce SMC-MuSe, a framework for Secure Multi-Party Computation on MultiSets. SMC-MuSe is targeted at the efficient implementation of specific interesting functions rather then on computing arbitrary ones. It is generic in the sense that it allows to compute any composition of privacy-preserving set intersections, unions, and reductions on multisets. The system model used in SMC-MuSe is kept close to the one assumed in theory and supports asynchronous communications, resilient SMC computations, and fully automated key management.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Changing Neighbors k Secure Sum Protocol for Secure Multi Party Computation

Secure sum computation of private data inputs is an important component of Secure Multi-party Computation (SMC).In this paper we provide a protocol to compute the sum of individual data inputs with zero probability of data leakage. In our proposed protocol we break input of each party into number of segments and change the arrangement of the parties such that in each round of the computation th...

متن کامل

CheapSMC: A Framework to Minimize SMC Cost in Cloud

Secure multi-party computation (SMC) techniques are increasingly becoming more efficient and practical thanks to many recent novel improvements. The recent work have shown that different protocols that are implemented using different sharing mechanisms (e.g., boolean, arithmetic sharings, etc.) may have different computational and communication costs. Although there are some works that automati...

متن کامل

TrustedPals: Secure Multiparty Computation Implemented with Smart Cards

We study the problem of Secure Multi-party Computation (SMC ) in a model where individual processes contain a tamper-proof security module, and introduce the TrustedPals framework, an efficient smart card based implementation of SMC for any number of participating entities in such a model. Security modules can be trusted by other processes and can establish secure channels between each other. H...

متن کامل

Outsourcing Secure Two-Party Computation as a Black Box

Secure multiparty computation (SMC) offers a technique to preserve functionality and data privacy in mobile applications. Current protocols that make this costly cryptographic construction feasible on mobile devices securely outsource the bulk of the computation to a cloud provider. However, these outsourcing techniques are built on specific secure computation assumptions and tools, and applyin...

متن کامل

A Modified ck-Secure Sum Protocol for Multi-Party Computation

Secure Multi-Party Computation (SMC) allows multiple parties to compute some function of their inputs without disclosing the actual inputs to one another. Secure sum computation is an easily understood example and the component of the various SMC solutions. Secure sum computation allows parties to compute the sum of their individual inputs without disclosing the inputs to one another. In this p...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013