计算机与现代化 ›› 2012, Vol. 1 ›› Issue (03): 93-97.doi:

• 信息安全 • 上一篇    下一篇

基于分布式信息流控制的MapReduce隐私安全加强方案研究

许帅   

  1. 上海交通大学,上海 200240
  • 收稿日期:2012-01-10 修回日期:1900-01-01 出版日期:2012-03-23 发布日期:2012-03-23

Research on Enforcing Privacy Security in MapReduce Based on Decentralized Information Flow Control

XU Shuai   

  1. Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2012-01-10 Revised:1900-01-01 Online:2012-03-23 Published:2012-03-23

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



关键词: 关键词:信息流控制, 分布式系统, MapReduce, 隐私保护

Abstract:

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.

Key words: Key words:information flow control, distributed system, MapReduce, privacy protection