Presentation | 2005/7/25 LooM : An Anonymity Quantification Method for Privacy Protection Miyuki IMADA, Masakatsu OHTA, Masayasu YAMAGUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a novel anonymity quantification method which calls LooM. The LooM is a method that evaluates the privacy protection levels every property of user collection for realizing a disclosure negotiation function of private information for user agents. Its main feature is that it can quantitatively control anonymity by a single value (disclosure threshold value) using a classification algorithm of the decision tree. In this paper, we show that the LooM is hardly affected by size of privacy information database or the attribute values distribution of users' private information by using artificial database. In order to decide the disclosure threshold value on practical systems, we show a method for setting the value based on web questionnaire data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Privacy Protection / Decision Tree / Anonymity / Equilibrium Model |
Paper # | AI2005-9 |
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Committee | AI |
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Conference Date | 2005/7/25(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | LooM : An Anonymity Quantification Method for Privacy Protection |
Sub Title (in English) | |
Keyword(1) | Privacy Protection |
Keyword(2) | Decision Tree |
Keyword(3) | Anonymity |
Keyword(4) | Equilibrium Model |
1st Author's Name | Miyuki IMADA |
1st Author's Affiliation | NTT Network Innovation Labs.() |
2nd Author's Name | Masakatsu OHTA |
2nd Author's Affiliation | NTT Network Innovation Labs. |
3rd Author's Name | Masayasu YAMAGUCHI |
3rd Author's Affiliation | NTT Network Innovation Labs. |
Date | 2005/7/25 |
Paper # | AI2005-9 |
Volume (vol) | vol.105 |
Number (no) | 224 |
Page | pp.pp.- |
#Pages | 6 |
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