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Kappos, G. (2022). An empirical analysis of privacy in cryptocurrencies. Unpublished PhD thesis, UCL (University College London). 
Added by: Jack (2023-02-21 04:35)   Last edited by: Jack (2023-02-21 04:36)
Resource type: Thesis/Dissertation
BibTeX citation key: Kappos2022
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Categories: Monero-focused
Creators: Kappos
Publisher: UCL (University College London)
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Attachments   Thesis Kappos.pdf [24/577] URLs   https://discovery. ... hesis%20Kappos.pdf
Abstract
Cryptocurrencies have emerged as an important technology over the past decade and have, undoubtedly, become blockchain’s most popular application. Bitcoin has been by far the most popular out of the thousands of cryptocurrencies that have been created. Some of the features that made Bitcoin such a fascinating technology in- clude its transactions being made publicly available and permanently stored, and the ability for anyone to have access. Despite this transparency, it was initially believed that Bitcoin provides anonymity to its users, since it allowed them to transact using a pseudonym instead of their real identity. However, a long line of research has shown that this initial belief was false and that, given the appropriate tools, Bitcoin transactions can indeed be traced back to the real-life entities performing them. In this thesis, we perform a survey to examine the anonymity aspect of cryp- tocurrencies. We start with early works that made first efforts on analysing how pri- vate this new technology was. We analyse both from the perspective of a passive ob- server with eyes only to the public immutable state of transactions, the blockchain, as well as from an observer who has access to network layer information. We then look into the projects that aimed to enhance the anonymity provided in cryptocur- rencies and also analyse the evidence of how much they succeeded in practice. In the first part of our own contributions we present our own take on Bitcoin’s anonymity, inspired by the research already in place. We manage to extend existing heuristics and provide a novel methodology on measuring the confidence we have in our anonymity metrics, instead of looking into the issue from a binary perspective, as in previous research. In the second part we provide the first full-scale empirical work on measuring anonymity in a cryptocurrency that was built with privacy guarantees, based on a very well established cryptography, Zcash. We show that just building a tool which provides anonymity in theory is very different than the privacy offered in practice once users start to transact with it. Finally, we look into a technology that is not a cryptocurrency itself but is built on top of Bitcoin, thus providing a so-called layer 2 solution, the Lightning network. Again, our measurements showed some serious privacy concerns of this technology, some of which were novel and highly applicable.
  
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