Earticle

초록

영어

The rapid development of information technology makes it convenient to release, collect, store and analyze various types of data. At the same time, how to protect the privacy of individual and prevent disclosure of sensitive information during data publication has become a major challenge. K-anonymity method is the most widely used privacy protection model and has been well researched. However, generalization and suppression operations used in K-anonymity methods require high computational effort and cause excessive loss of original information, which will greatly reduce the availability of data after publishing. The paper proposed a transformation algorithm for privacy preserving data publishing based on fuzzy semantic set pair cloud model (FSSPCM). It transforms the sensitive attributes into the form of fuzzy semantic values, and privacy of individual has been maintained because exact values cannot be predicted after data publishing. In order to enhance the availability of data after publishing, semantic distinction (SD) and reserve degree (RD) are designed to reflect relationships between original data and fuzzy semantic information after transformation according to different characteristics of numerical sensitive attributes and categorical sensitive attributes. Experiments and analysis demonstrate the effectiveness of the proposed method both on numerical and categorical sensitive attributes. Classification performed on original and transformed information proves the proposed method maintains higher clustering similarity after fuzzy transformation, which will provide better availability for data mining and other processing.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Fundamental Definitions
 4. Privacy Preserving Data Publication based on Fuzzy Semantic Set Pair Cloud Model
 5. Fuzzy Semantic Transformation Method for Categorical Sensitive Attributes
 6. Experimental Results
  6.1. Privacy Preserving Effect
  6.2. Data Availability
  6.3. Clustering Effects
  6.4. Execution Time
 7. Conclusion
 References

키워드

저자

• Yan Yan [ School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China / School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China ]
• Xiaohong Hao [ School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China ]
• Wanjun Wang [ School of Digital Media, Lanzhou University of Arts and Science, Lanzhou, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605