基于分布式信息流控制的MapReduce隐私安全加强方案研究

摘要

随着信息技术的发展,分布式系统被广泛应用于金融、医疗等领域.其中以基于MapReduce的数据挖掘为代表的应用对隐私的保护往往有很高的要求.本文提出一个基于分布式信息流控制的MapReduce框架,用以保证MapReduce 中信息的私密性和完整性,同时给出系统原型的实现.%With the development of information technology, distributed systems are widely used in financial, medical and other fields. Among those, MapReduce-based data mining applications tend to have high security requirements on privacy. This paper presents a MapReduce framework based on decentralized information flow control to ensure the privacy and integrity of information , and a prototype of the system is given also.