Transaction Types in Cryptocurrencies

dc.authorscopusid 59391020000
dc.authorscopusid 57969037100
dc.contributor.author Uysal, T.
dc.contributor.author Unozkan, H.
dc.date.accessioned 2025-02-10T18:42:32Z
dc.date.available 2025-02-10T18:42:32Z
dc.date.issued 2024
dc.department Fenerbahçe University en_US
dc.department-temp Uysal T., Halic University, Industrial Engineering, Istanbul, Turkey; Unozkan H., Fenerbahce University, Industrial Engineering, Istanbul, Turkey en_US
dc.description.abstract The cryptocurrency ecosystem has witnessed an explosive growth, and this study delves into the mechanisms that fuel this expansion. Focusing on airdrops, staking, farming, and coin burning, the research analyzes a vast dataset of transactions from the Ethereum and Binance Networks. This analysis sheds light on the strategic use of these tools by highlighting transactions that engage users and distribute rewards (e.g., airdrops, staking). Furthermore, the study investigates farming as a method to enhance market efficiency by providing liquidity, and coin burning as a strategy to manage token supply and potentially increase value through scarcity. While effective utilization of these mechanisms can bolster token value and project success, regulatory challenges remain. Ultimately, this study aims to raise public awareness of cryptocurrency transaction types and the associated risks. Although many researchers have studied illicit flows on cryptocurrency transactions, in literature we haven't confronted with any study regarding transaction types. By analyzing over 107 million transaction records, the research presents the distribution of these transaction types. With the analysis of the transaction types, the definitions of them, the statistical outputs from the more than 107 million transaction records from ERC20 and BEP20 blockchain systems and the analysis of some specific token types such as Pancake Swap and Shiba, this research is the first study to present an academic approach with statistical analysis. This study can provide investors with knowledge that safeguard them from the potential pitfalls of cryptocurrency transactions. Also, this study presents some basic statistics so as to understand main patterns of different types of transactions. © 2024 IEEE. en_US
dc.description.sponsorship Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (7230961); Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK en_US
dc.identifier.citation 0
dc.identifier.doi 10.1109/IDAP64064.2024.10711051
dc.identifier.isbn 9798331531492
dc.identifier.scopus 2-s2.0-85207930656
dc.identifier.scopusquality N/A
dc.identifier.uri https://doi.org/10.1109/IDAP64064.2024.10711051
dc.identifier.uri https://hdl.handle.net/20.500.14627/813
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 -- 8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 -- 21 September 2024 through 22 September 2024 -- Malatya -- 203423 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Airdrop en_US
dc.subject Blockchain en_US
dc.subject Cryptocurrencies en_US
dc.subject Pre-Sale en_US
dc.subject Staking en_US
dc.subject Statistical Analysis en_US
dc.title Transaction Types in Cryptocurrencies en_US
dc.type Conference Object en_US
dspace.entity.type Publication

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