Efficient Data Publishing Method for Protecting Sensitive Information by Data Inference


KIPS Transactions on Computer and Communication Systems, Vol. 5, No. 9, pp. 217-222, Sep. 2016
10.3745/KTCCS.2016.5.9.217,   PDF Download:
Keywords: Data, Encrypted Structure Index, Sensitive Information, Inference, Data Publishing
Abstract

Recent research on integrated and peer-to-peer databases has produced new methods for handling various types of shared-group and process data. This paper with data publishing, where the publisher needs to specify certain sensitive information that should be protected. The proposed method cannot infer the user's sensitive information is leaked by XML constraints. In addition, the proposed secure framework uses encrypt to prevent the leakage of sensitive information from authorized users. In this framework, each node of sensitive data in an eXtensible Markup Language (XML) document is encrypted separately. All of the encrypted data are moved from their original document, and are bundled with an encrypted structure index. Our experiments show that the proposed framework prevents information being leaked via data inference.


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Cite this article
[IEEE Style]
H. Ko, "Efficient Data Publishing Method for Protecting Sensitive Information by Data Inference," KIPS Transactions on Computer and Communication Systems, vol. 5, no. 9, pp. 217-222, 2016. DOI: 10.3745/KTCCS.2016.5.9.217.

[ACM Style]
Hye-Kyeong Ko. 2016. Efficient Data Publishing Method for Protecting Sensitive Information by Data Inference. KIPS Transactions on Computer and Communication Systems, 5, 9, (2016), 217-222. DOI: 10.3745/KTCCS.2016.5.9.217.