Security Deciding in Publishing Views Based on Entropy

Zhang Kun; Pan De-fen

2nd International ICST Workshop on Artificial Intelligence in Grid Computing

Research Article

Security Deciding in Publishing Views Based on Entropy

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/ICST.QSHINE2008.4262,
    author={Zhang Kun and Pan De-fen},
    title={Security Deciding in Publishing Views Based on Entropy},
    proceedings={2nd International ICST Workshop on Artificial Intelligence in Grid Computing},
    publisher={ACM},
    proceedings_a={AIGC},
    year={2010},
    month={5},
    keywords={Publishing Views; Probabilistic Database; Information Dependency；Entropy},
    doi={10.4108/ICST.QSHINE2008.4262}
}

Zhang Kun
Pan De-fen
Year: 2010
Security Deciding in Publishing Views Based on Entropy
AIGC
ICST
DOI: 10.4108/ICST.QSHINE2008.4262

Zhang Kun¹^,*, Pan De-fen¹

1: Hebei University of Science and Technology, Shijiazhuang, Hebei, China

*Contact email: euphkun@163.com

Abstract

Publishing views have been a convenient tool for data exchange. But as the increasing of data exchange technology, the security in publishing views has been paid more attention to. Inspired by the knowledge of probabilistic database, this paper erects a probability model of security deciding in publishing views, and it gives the formularized definition of publishing views, private information, prior knowledge and so on. Then a new deciding theorem based on entropy is provided, and introduce techniques for measuring the magnitude of information disclosures in publishing view. At last it is proved by the experiment.

Keywords: Publishing Views; Probabilistic Database; Information Dependency；Entropy

Published: 2010-05-16
Publisher: ACM
Modified: 2010-05-16

: http://dx.doi.org/10.4108/ICST.QSHINE2008.4262