Browsing by Author "Unozkan, H."

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Transaction Types in Cryptocurrencies
(Institute of Electrical and Electronics Engineers Inc., 2024) Uysal, T.; Unozkan, H.
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.
A Unique Web 3 Product-NFT Usage in Healthcare
(Institute of Electrical and Electronics Engineers Inc., 2025) Unozkan, H.
Non-fungible tokens (NFTs) have gained immense popularity and value in recent years. After the Web 3 revolution, many new products have been constructed based on smart contracts or powerful software agreements. One of the most exciting products of Web 3 is NFT, with their increasing popularity, high volatility, and significant price movements making them popular in trading activities. Although many people, investors and researchers perceive NFTs as a trading product, the smart contract and metadata, both of which make up of NFT structure, offer valuable support for the big data storage and processing fields. In recent years, researchers have proposed different uses of NFTs in healthcare systems to improve the quality of services by using NFTs' versatile data storage architecture. In this study, the capability of NFTs in the storage of health data is investigated, the usage and usage proposals of NFTs in health are examined, and probable usage areas in health sciences are evaluated. The uniqueness of this study is, using NFTs as the dead parental data storage in which the metadata does not need to be mitigated, but the stored data is very valuable for doctors to assess the genetic illnesses comes from parental DNAs. © 2025 IEEE.