A Parallel Method for Scalable Anonymization of Transaction Data

  title={A Parallel Method for Scalable Anonymization of Transaction Data},
  author={Neelam Memon and Grigorios Loukides and Jianhua Shao},
  journal={2015 14th International Symposium on Parallel and Distributed Computing},
Transaction data, such as market basket or diagnostic data, contain sensitive information about individuals. Such data are often disseminated widely to support analytic studies. This raises privacy concerns, as the confidentiality of individuals must be protected. Economization is an established methodology to protect transaction data, which can be applied using different algorithms. RBAT is an algorithm for anonymzitng transaction data that has many desirable features. These include flexible… CONTINUE READING


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