Personal data disclosure and data breaches: the customer's viewpoint
Giuseppe D'Acquisto, Maurizio Naldi, Giuseppe F. Italiano

TL;DR
This paper models the decision-making process of customers regarding personal data disclosure, analyzing how benefits, risks, and provider privacy policies influence optimal data sharing levels.
Contribution
It provides a mathematical framework for understanding personal data disclosure decisions, highlighting the dominant influence of immediate benefits over potential risks.
Findings
Optimal personal data disclosure depends mainly on service benefits.
Price increases lead to more cautious data sharing.
Privacy policies significantly affect disclosure levels.
Abstract
Every time the customer (individual or company) has to release personal information to its service provider (e.g., an online store or a cloud computing provider), it faces a trade-off between the benefits gained (enhanced or cheaper services) and the risks it incurs (identity theft and fraudulent uses). The amount of personal information released is the major decision variable in that trade-off problem, and has a proxy in the maximum loss the customer may incur. We find the conditions for a unique optimal solution to exist for that problem as that maximizing the customer's surplus. We also show that the optimal amount of personal information is influenced most by the immediate benefits the customer gets, i.e., the price and the quantity of service offered by the service provider, rather than by maximum loss it may incur. Easy spenders take larger risks with respect to low-spenders, but…
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Taxonomy
TopicsPrivacy, Security, and Data Protection · Information and Cyber Security · Privacy-Preserving Technologies in Data
