Analysis of Risks to Data Privacy at the State Level Throughout the United States

Autor: Wayne Patterson
Rok vydání: 2021
Předmět:
Zdroj: SoutheastCon 2021.
DOI: 10.1109/southeastcon45413.2021.9401816
Popis: Concern about compromised personal information on the Internet in recent years, now accelerated by fears about compromised information in the context of the global COVID-19 pandemic and other data security. Sweeney in 1987 demonstrated that in the United States, approximately 87% of persons in the United States could be identified uniquely from only three relatively easily found data points, (PC,G,B), or 5-digit postal code, gender, and birthdate including year. In this paper, we (1) update Sweeney's results to 2020, and note that her estimates persist; (2) disaggregate her approach to find results state-by-state in the United States; and (3) replace her requirement to identify three data points to two data points, with approximately the same effort required to identify not the individual, but at least one member of the nuclear family unit.
Databáze: OpenAIRE