Introducing a Framework for Measuring the Quantitative Benefits of Privacy-Enhancing Technologies
This paper reviews privacy-enhancing technologies (PETs) and explores their benefits when used to make traditional payment processes more private. PETs can decrease privacy risk by reducing the amount of sensitive information accessible to payment-processing personnel and systems. This paper proposes a framework for quantifying the risk-reduction benefits of PETs. This method can be used to calculate the amount of privacy-risk exposure that may be created by a set of payment activities, estimate the amount by which PETs can decrease that exposure, and compare that quantified benefit against possible PET drawbacks. Assessing these drawbacks is outside the scope of this paper.
This paper has been published in the Journal of Payments Strategy & Systems and is available at: Isaacson, Ken. 2024. “Introducing a framework for measuring the quantitative benefits of privacy enhancing technologies.” Journal of Payments Strategy & Systems, 18 (4), 395-405 (2024). https://doi.org/10.69554/VEWA7572
Working Papers of the Federal Reserve Bank of Cleveland are preliminary materials circulated to stimulate discussion and critical comment on research in progress. They may not have been subject to the formal editorial review accorded official Federal Reserve Bank of Cleveland publications. The views expressed in this paper are those of the authors and do not represent the views of the Federal Reserve Bank of Cleveland or the Federal Reserve System.
Suggested Citation
Isaacson, Ken. 2024. “Introducing a Framework for Measuring the Quantitative Benefits of Privacy-Enhancing Technologies.” Federal Reserve Bank of Cleveland, Working Paper No. 24-16. https://doi.org/10.26509/frbc-wp-202416
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