BitSQL: A SQL-based Bitcoin Analysis System

Mun, Hyunsu; Lee, Youngseok

doi:10.1109/icbc54727.2022.9805551

Cited by 2 publications

(2 citation statements)

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“…Lee 106 2022 Developed a compact database for BTC analysis by data mapping approach and a split transaction mechanism.…”

Section: Mun Andmentioning

confidence: 99%

“…The second phase involved collecting transactions through transaction monitors beneath the chain, extracting features, and conducting a more in‐depth attack analysis. Mun et al 106 presented a framework for analyzing BTC data using SQL. They reduced database size by employing data mapping and transaction splitting techniques.…”

Section: Use Of Blockchain Forensics To Investigate Crypto Fraudsmentioning

confidence: 99%

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Blockchain and crypto forensics: Investigating crypto frauds

Agarwal,

Rishiwal,

Tanwar

et al. 2023

Int J Network Mgmt

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In the past few years, cryptocurrency has gained widespread acceptance because of its decentralized nature, quick and secure transactions, and potential for investment and speculation. But the increased popularity has also led to increased cryptocurrency fraud, including scams, phishing attacks, Ponzi schemes, and other criminal activities. Although there is little documentation of cryptocurrency fraud, an in‐depth study is essential to recognize various scams in different cryptocurrencies. To fill this gap, a study investigated cryptocurrency‐related fraud in various cryptocurrencies and provided a taxonomy of crypto‐forensics and forensic blockchain. In addition, we have introduced an architecture that integrates artificial intelligence (AI) and blockchain technologies to investigate and protect against instances of cryptocurrency fraud. The suggested design's effectiveness was evaluated using several machine learning (ML) classification algorithms. The conclusion of the evaluation confirmed that the random forest (RF) classifier performed the best, delivering the highest level of accuracy, that is, 97.5%. Once the ML classifiers detect cryptocurrency fraud, the information is securely stored in the InterPlanetary File System (IPFS); the document's hash is also stored in the blockchain using smart contracts. Law enforcement can leverage blockchain technology to secure access to fraudulent cryptographic transactions. The proposed architecture was tested for bandwidth utilization. Despite the potential benefits of blockchain and crypto‐forensics, several issues and challenges remain, including privacy concerns, standardization, and difficulty identifying fraud between crypto‐currencies. Finally, the paper discusses various problems and challenges in blockchain and crypto forensics to investigate cryptocurrency fraud.

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“…Lee 106 2022 Developed a compact database for BTC analysis by data mapping approach and a split transaction mechanism.…”

Section: Mun Andmentioning

confidence: 99%

Section: Use Of Blockchain Forensics To Investigate Crypto Fraudsmentioning

confidence: 99%