Earticle

초록

영어

Big data is an emerging and very considerable technology for gathering and analyzing a huge volume of real-time produced data efficiently and effectively, but it has also a great volume of sensitive data arising invasion of privacy. Big data analyses can give us very customized and effective analysis results, but this technology can be abused for privacy invasion of personal users. This paper introduces sensitive information which can be collected and/or synthesized at the data collection stage, data analysis stage, and presentation service stage. And then this paper proposes a double layered architecture for preserving user privacy. The proposed architecture provides two steps for masking sensitive information from the big data processing databases, and these steps are presented in detail with some examples in this paper.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. Big Data Processing Technology
  2.2. Privacy Requirements
 3. Double Privacy Layer Architecture
  3.1. The Pre-Filtering Layer
  3.2. Post-Filtering Layer
 4. Security Analysis
  4.1. Privacy Enhancing with Double-Filtering
  4.2. Further Privacy Issues
 5. Conclusions
 References

키워드

저자

• Do-Eun Cho [ Innovation Center for Engineering Education, Mokwon University, Korea ]
• Si Jung Kim [ Search Institute, SSOD Co., Ltd, Korea ]
• Sang-Soo Yeo [ Division of Computer Engineering, Mokwon University, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605