CRSep 16, 2021

Summarizing and Analyzing the Privacy-Preserving Techniques in Bitcoin and other Cryptocurrencies

arXiv:2109.07634v37 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental review paper that synthesizes existing knowledge on privacy issues in cryptocurrencies for researchers and practitioners.

The paper tackles the problem of user privacy vulnerabilities in Bitcoin and similar cryptocurrencies by analyzing known attacks and privacy-preserving algorithms, but does not present new experimental results or concrete numbers.

Bitcoin and many other similar Cryptocurrencies have been in existence for over a decade, prominently focusing on decentralized, pseudo-anonymous ledger-based transactions. Many protocol improvements and changes have resulted in new variants of Cryptocurrencies that are known for their peculiar characteristics. For instance, Storjcoin is a Proof-of-Storage-based Cryptocurrency that incentivizes its peers based on the amount of storage owned by them. Cryptocurrencies like Monero strive for user privacy by using privacy-centric cryptographic algorithms. While Cryptocurrencies strive to maintain peer transparency by making the transactions and the entire ledger public, user privacy is compromised at times. Monero and many other privacy-centric Cryptocurrencies have significantly improved from the original Bitcoin protocol after several problems were found in the protocol. Most of these deficiencies were related to the privacy of users. Even though Bitcoin claims to have pseudo-anonymous user identities, many attacks have managed to successfully de-anonymize users. In this paper, we present some well-known attacks and analysis techniques that have compromised the privacy of Bitcoin and many other similar Cryptocurrencies. We also analyze and study different privacy-preserving algorithms and the problems these algorithms manage to solve. Lastly, we touch upon the ethics, impact, legality, and acceptance of imposing these privacy algorithms.

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