隐私计算中的安全多方计算协议优化与性能评估  

Optimization and Performance Evaluation of Secure Multi Party Computing Protocol in Privacy Computing

作　　者：蒋忠群 JIANG Zhongqun(Nanning Institute of Technology,Nanning 541006,China)

机构地区：[1]南宁理工学院,南宁541006

出　　处：《移动信息》2025年第2期142-144,共3页Mobile Information

摘　　要：随着隐私保护需求的增长,安全多方计算作为隐私计算的关键技术,受到了广泛关注.文中分析了安全多方计算协议的优化和性能评估方法,通过对计算复杂度、通信开销、执行效率及安全性增强技术的研究,提出了多种优化策略.为验证这些优化策略的有效性和实用性,设计了一系列实验,如模拟不同规模的数据集上的计算任务、对比优化前后协议的执行时间和资源消耗等.实验结果表明,优化后的安全多方计算协议不仅显著提高了计算效率,还增强了系统的整体安全性,为提高安全多方计算协议的执行效率和安全性提供了有价值的参考.With the increasing demand of privacy protection,secure multi-party computing,as a key technology of federated learning,has received extensive attention.This paper analyzes the optimization and performance evaluation methods of secure multi-party computing protocols.Through in-depth research on computational complexity,communication overhead,execution efficiency and security enhancement technologies,a variety of optimization strategies are proposed.To verify the effectiveness and practicality of these optimization strategies,a series of experiments are designed,such as simulating computing tasks on datasets of different sizes,comparing the execution time and resource consumption of protocols before and after optimization,etc.The experimental results show that the optimized secure multi-party computing protocol not only significantly improves the computing efficiency,but also enhances the overall security of the system,providing a valuable reference for improving the execution efficiency and security of the secure multi-party computing protocol.

关 键 词：隐私计算 安全多方计算 协议优化 计算复杂度 通信开销 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]