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References

  • ARX - Open Source Data Anonymization Software. (n.d.). Retrieved from https://github.com/arx-deidentifier/arx
  • da Silva Ferreira, C. (n.d.). A Web Anonymizer Platform for Datasets with Personal Information.
  • Raghunathan, B. (2008). The Complete Book of Data Anonymization - From Planning to Implementation. CRC Press Taylor & Francis Group.
  • Elmagarmid, A., & Sheth, A. (2008). Privacy-Preserving Data Mining: Models and Algorithms. Springer Science+Business Media, LLC.
  • Sweeney, L. (2002). Achieving k-Anonymity Privacy Protection using Generalization and Suppression. School of Computer Science, Carnegie Mellon University.
  • Narayanan, A., & Shmatikov, V. (2008). Robust De-anonymization of Large Sparse Datasets. Proceedings of the 2008 IEEE Symposium on Security and Privacy, IEEE Computer Society Washington.
  • Zhang, Q., Koudas, N., Srivastava, D., & Yu, T. (2007). Aggregate Query Answering on Anonymized Tables. IEEE 23rd International Conference on Data Engineering, Istanbul, Turkey.
  • Gajananan, V., & Thambidurai, P. (2015). A modified efficient global K-anonymity Algorithm. Journal of Research in Science and Technology, 2(1), 1-6. http://dpi-journals.com/index.php/JRST/article/viewFile/2718/1830
  • Garfinkel, S. (2015). NISTIR 8053-De-Identification of Personal Information. National Institute of Standards and Technology, US Department of Commerce.