Earticle

초록

영어

The Prevalent use of XML highlights an increasing need that publishing XML documents
should meet precise security requirements, without revealing sensitive information to
unauthorized users. We consider data-publishing applications where the publisher specifies
what information is sensitive and should be protected. Hiding the sensitive information is no
enough and the users can use common knowledge (e.g. “all patients in the same ward have
the same disease”) to infer more data, which can cause leakage of sensitive information. We
formulate the process how users can infer data using three types of common XML constraints
and several functional dependencies. We develop a novel paradigm for finding a max partial
document without causing information leakage when we publish several related XML
documents, while allowing publishing as much data as possible. The experiments on real data
sets show that effect of inference on data security, and how the paradigm can prevent leaking
the sensitive information.

목차

Abstract
 1. Introduction
 2 Related works
 3 Data inference based on single document
 4 DATA inference based on multiple documents
  4.1 process of inference
  4.2 Computing a secure document with EIN algorithm
 5. Experiments
 6. Conclusion
 7. Acknowledgments
 8. References

저자

• Yixiang Ding [ College of Computer Science of Wuhan University of Science and Engineering, Wuhan, 430073, P.R.China ]
• Tao Peng [ College of Computer Science of Wuhan University of Science and Engineering, Wuhan, 430073, P.R.China ]
• Minghua Jiang [ College of Computer Science of Wuhan University of Science and Engineering, Wuhan, 430073, P.R.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