About this website#
This website provides documentation of the k_anonymization module, a Python (re)implementation of several k-anonymization algorithms by the researchers of the SDC4Society project.
Currently, the module is under active development for research and fact-checking purposes. The following algorithms have been implemented and tested:
References#
Latanya Sweeney. Datafly: a system for providing anonymity in medical data. In Database Security XI: Status and Prospects, 356–381. Springer US, 1998. doi:10.1007/978-0-387-35285-5_22.
K. LeFevre, D.J. DeWitt, and R. Ramakrishnan. Mondrian multidimensional k-anonymity. In 22nd International Conference on Data Engineering (ICDE'06). 2006. doi:10.1109/ICDE.2006.101.
Ji-Won Byun, Ashish Kamra, Elisa Bertino, and Ninghui Li. Efficient k-anonymization using clustering techniques. In Advances in Databases: Concepts, Systems and Applications, 188–200. Springer Berlin Heidelberg, 2007. doi:10.1007/978-3-540-71703-4_18.
Jun-Lin Lin and Meng-Cheng Wei. An efficient clustering method for k-anonymization. In Proceedings of the 2008 International Workshop on Privacy and Anonymity in Information Society, PAIS '08, 46–50. Association for Computing Machinery, 2008. doi:10.1145/1379287.1379297.
Ikarashi Dai, Chida Koji, and Takahashi Katsumi. K-匿名性の確率的指標への拡張とその適用例. In コンピュータセキュリティシンポジウム2009 (CSS2009) 論文集, volume 2009, 1–6. 情報処理学会, 2011. URL: https://ipsj.ixsq.nii.ac.jp/records/74904.
Ikarashi Dai, Chida Koji, and Takahashi Katsumi. 数値属性における, k-匿名性を満たすランダム化手法. In コンピュータセキュリティシンポジウム2011 (CSS2011) 論文集, volume 2011, 450–455. 情報処理学会, 2011. URL: https://ipsj.ixsq.nii.ac.jp/records/77972.
Table of Contents#
API Reference