An Approach to Information Hiding Based on Rough Set

With the rapid development of Internet, It is important to seek a balance between the publicity of sensitive or important information and the anonymisation of privacy information. In this paper, we propose β-Importance based on VPRS model and granularity theory to hide data effectively. When we obta...

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Hauptverfasser:	Taorong Qiu, Zhijun Xiong, Xiaoming Bai, Shujie Xiong
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Data privacy Database systems granularity Humans Information analysis information hiding Information resources Information systems Internet Problem-solving Protection VPRS model Wearable computers
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creator	Taorong Qiu Zhijun Xiong Xiaoming Bai Shujie Xiong
description	With the rapid development of Internet, It is important to seek a balance between the publicity of sensitive or important information and the anonymisation of privacy information. In this paper, we propose β-Importance based on VPRS model and granularity theory to hide data effectively. When we obtain the important attributes from the information table, and then handle the values of unimportant attributes to extend. In term of users, the granularity of information become rough, so we achieve the anonymisation. We propose the relevant algorithm and apply this method to a real example, the results show that the proposed method is feasible.
doi_str_mv	10.1109/APWCS.2010.68
format	Conference Proceeding
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identifier	ISBN: 1424464676
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subjects	Data privacy Database systems granularity Humans Information analysis information hiding Information resources Information systems Internet Problem-solving Protection VPRS model Wearable computers
title	An Approach to Information Hiding Based on Rough Set
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