Applied Privacy Engineering Study on SEER database
Heather A Mcpherson
null at University of California - Berkeley
Ken Chang
Cybersecurity Researcher at University of California - Berkeley
Matt Holmes
null at University of California - Berkeley
Serena Vilalobos
null at University of California - Berkeley
On the data privacy engineering domain, numerous studies have described k-anonymity as a criterion for measuring the level of anonymization in a dataset where various k-anonymity algorithms and models have been designed and developed. In seeking privacy versus utility balance, we applied anonymization process on SEER database, the Surveillance, Epidemiology, and End Results (SEER) Program datset of cancer research, an organization which compiles cancer data from numerous cancer research organizations.