Introducing a framework for measuring the quantitative benefits of privacy enhancing technologies

This paper explores the benefits of using privacy-enhancing technologies (PETs) to make traditional payment processes more private. PETs 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 the possible drawbacks associated with PETs. Note that an in in-depth assessment of these drawbacks is outside the scope of this paper.

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Publication Details

Journal
Journal of payments strategy & systems
Published
2024-12-01
DOI
https://doi.org/10.69554/vewa7572
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
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article

Introducing a framework for measuring the quantitative benefits of privacy enhancing technologies

Ken Isaacson
Journal of payments strategy & systems
Privacy, Security, and Data Protection
article

Introducing a framework for measuring the quantitative benefits of privacy enhancing technologies

Ken Isaacson
article en

Abstract

This paper explores the benefits of using privacy-enhancing technologies (PETs) to make traditional payment processes more private. PETs 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 the possible drawbacks associated with PETs. Note that an in in-depth assessment of these drawbacks is outside the scope of this paper.

Journal of payments strategy & systemsVol. 18(4)
Federal Reserve Bank of Cleveland (US)
Openalex Percentile: Top 57%
Privacy, Security, and Data Protection
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