Study on Privacy Preserving Data Mining
| Project/Area Number |
16500088
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Tokai University |
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Principal Investigator |
KIKUCHI Hiroaki Tokai University, School of Information Technology and Electronics, Associate Professor, 電子情報学部, 助教授 (20266365)
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| Project Period (FY) |
2004 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 2005: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2004: ¥2,300,000 (Direct Cost: ¥2,300,000)
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| Keywords | Data Mining / Privacy / Secure Function evaluation / Cryptographic Protocol / Privacy Policy / 決定木学習 |
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| Research Abstract |
Study on Data Mining from Private Database of Questionnaires.
We have studied the issue of disclosures of private evaluation from web-based questionnaire and clarified that the potential souse of disclosures is malicious insiders who engaged into administrative tasks of public server. In order to prevent dishonest behavior of malicious parties, we have applied a new cryptographical protocol of secure function evaluation using homomorphic public-key algorithms. The conventional protocol of secure function evaluation, however, can not apply here because a variety of question styles other than a simple one-out-of-n style are used in currently applied questionnaire survey. Thus, we have developed a new protocol based on disjunctive zero-knowledge proof protocol to overcome the issue of complicated style of questions. The performance and security of the proposed scheme are investigated in J.Nakazato and H.Kikuchi, Security Enhancement Preventing Personal Information Disclosure in Web-Based Questionnaire, IPSJ Journal, Vol.46, No.8, pp.2068-2077, 2005.
We have also studied other data-mining algorithm including decision tree learning based on entropy, clustering schemes using Euclid distance and uncertain reasoning. One application is to automated web page classification systems with subjective uncertainty. Some of these schemes can be used to give a new protocol of extracting watermark information without revealing secret keys. We have shown several issues such as accuracy and performance of these protocols.
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Report
(3 results)
Research Products
(12 results)
