Abstract
This paper studies users’ privacy perceptions of UTXO-based blockchains such as Bitcoin. It elaborates – based on interviews and questionnaires – on a mental model of employing privacy-preserving techniques for blockchain transactions. Furthermore, it evaluates users’ awareness of blockchain privacy issues and examines their preferences towards existing privacy-enhancing solutions, i.e., add-on techniques to Bitcoin versus built-in techniques in privacy coins. Using Bitcoin as an example, we shed light on existing discrepancies between users’ privacy perceptions and preferences as well as current implementations.
Cite
CITATION STYLE
Ghesmati, S., Fdhila, W., & Weippl, E. (2023). User-Perceived Privacy in Blockchain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13412 LNCS, pp. 164–194). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-32415-4_12
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