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Related Experiment Video

Updated: Apr 27, 2026

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Two-cloud-servers-assisted secure outsourcing multiparty computation.

Yi Sun¹, Qiaoyan Wen¹, Yudong Zhang²

¹State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Thescientificworldjournal

|July 2, 2014

Summary

This study introduces a secure multiparty computation protocol for cloud outsourcing using lattice-based encryption. It enables secure computation on encrypted data without user interaction, protecting results from servers and unauthorized users.

Related Experiment Videos

Last Updated: Apr 27, 2026

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Area of Science:

Cryptography and Security
Cloud Computing
Secure Multiparty Computation

Background:

Securely outsourcing computation to the cloud is a significant challenge.
Existing protocols often require user interaction or have high complexity.
Protecting data privacy and computation integrity in cloud environments is crucial.

Purpose of the Study:

To propose a novel secure outsourcing multiparty computation protocol.
To enable computation on lattice-based encrypted data in a two-cloud-server setting.
To ensure privacy of outsourced data and computation results.

Main Methods:

Developed a protocol transforming user-encrypted data to server-encrypted data.
Utilized lattice-based cryptography for enhanced security.
Implemented a two-cloud-server architecture for cooperative computation.
Designed a mechanism for authorized result recovery while excluding unauthorized parties.

Main Results:

The proposed protocol allows secure computation on encrypted data without user interaction.
Both computation and communication complexities for users are independent of the computing function.
Ensured that only authorized users can decrypt the final result, while servers cannot.
Achieved a completely non-interactive protocol between users.

Conclusions:

The developed protocol offers a secure and efficient solution for outsourcing computation to the cloud.
It significantly enhances data privacy and result confidentiality in multiparty computation scenarios.
The non-interactive nature and user-independent complexity represent a notable advancement in the field.