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Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Inertia Weight Methods Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Risk of Re-Identification Based on Euclidean Distance in Anonymized Data PWSCUP2015

Authors : Satoshi Ito, Hiroaki Kikuchi

Published in: Advances in Network-Based Information Systems

Publisher: Springer International Publishing

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Abstract

We propose a new method to re-identify anonymized data by using Euclidean distance between the original record and the anonymized record and evaluate the accuracy of the proposed method. In order to clarify performance of several anonymization methods used in the competition of the PWSCUP2015, we examine each of single methods and attempt to estimate the accuracy of the combination of some methods.

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Literature
1.
Kikuchi, H., Yamaguchi, T., Hamada, K., Yamaoka, Y., Oguri, H., Sakuma, J.: What is the best anonymization method? - a study from the data anonymization competition Pwscup 2015. In: Data Privacy Management Security Assurance (DPM2016). LNCS, vol. 9963, pp. 230–237 (2016)
2.
Kikuchi, H., Yamaguchi, T., Hamada, K., Yamaoka, Y., Oguri, H., Sakuma, J.: Ice and fire: quantifying the risk of re-identification and utility in data anonymization. In: 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), Crans-Montana, pp. 1035-1042 (2016)
3.
Sweeny, L.: \(k\)-anonymity. Int. J. Uncertainty Fuzziness Knowl. Based Syst. 10, 571–588 (2002)CrossRef
4.
Akiyama, H., Yamaguchi, K., Ito, S., Hoshino, N., Goto, T.: Usage and development of educational pseudo micro-data -sampled from national survey of family income and expenditure in 2004. Technical report of the National Statistics Center (NSTAC), vol. 16, pp. 1–43 (2012). (in Japanese)
Metadata
Title
Risk of Re-Identification Based on Euclidean Distance in Anonymized Data PWSCUP2015
Authors
Satoshi Ito
Hiroaki Kikuchi
Copyright Year
2018
Book
Advances in Network-Based Information Systems

Print ISBN: 978-3-319-65520-8

Electronic ISBN: 978-3-319-65521-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-65521-5_81

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