Building an Anonymization Pipeline: Creating Safe Data 1st Edition 21632

How can you use data in a way that protects individual privacy, but still ensures that data analytics will be useful and meaningful? With this practical book, data architects and engineers will learn how to implement and deploy anonymization solutions within a data collection pipeline. You’ll and establish integrate secure, repeatable anonymization processes into your data flows and analytics in a sustainable manner.

Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing data, based on data collection models and use cases enabled by real business needs. These examples come from some of the most demanding data environments, using approaches that have stood the test of time.

About the Author

Luk Arbuckle is Chief Methodologist at Privacy Analytics, providing strategic leadership in how to responsibly share and use data. Luk was previously Director of Technology Analysis at the Office of the Privacy Commissioner of Canada leading a highly skilled team that conducted privacy research and assisted investigations in when there was a technology component involved. Before joining the Office of the Privacy Commissioner of Canada, Luk work on developing de-identification methods and re-identification risk measurement tools, participated in the development and evaluation of secure computation protocols, and led a top-notch research and consulting team that developed and delivered data anonymization solutions. Luk originally plied his trade in the area of image processing and analysis, and then in the area of applied statistics (use R!).

Dr. Khaled El Emam is the Founder and CEO of Privacy Analytics Inc. He is also an Associate Professor at the University of Ottawa, Faculty of Medicine, a senior investigator at the children's Hospital of Eastern Ontario Research Institute, and a Canada Research Chair in Electronic Health Information at the University of Ottawa. His main area of research is developing techniques for health data de-identification or anonymization and secure disease surveillance for public health purposes. He has made many contributions to the health privacy area. In addition, he has considerable experience de-identifying personal health information under the HIPAA Privacy Rule Statistical Standard.

Previously Khaled was a Senior Research Officer at the National Research Council of Canada, and prior to that he was head of the Quantitative Methods Group at the Fraunhofer Institute in Kaiserslautern, Germany. He has co-founded two companies to commercialize the results of his research work. In 2003 and 2004, he was ranked as the top systems and software engineering scholar worldwide by the Journal of Systems and Software based on his research on measurement and quality evaluation and improvement, and ranked second in 2002 and 2005. He holds a Ph.D. from the Department of Electrical and Electronic Engineering, king's College, at the University of London (ВЕЛИКОБРИТАНІЯ).