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  • Graph based visualisation techniques for analysis of blockchain transactions

    Author(s)
    Jeyakumar, Samantha Tharani
    Charles, EYA
    Hou, Z
    Palaniswami, M
    Muthukkumarasamy, V
    Griffith University Author(s)
    Muthukkumarasamy, Vallipuram
    Hou, Zhe
    Year published
    2021
    Metadata
    Show full item record
    Abstract
    Blockchain is a digital technology built on three pillars: decentralization, transparency and immutability. Bitcoin and Ethereum are two prevalent Blockchain platforms, where the participants are globally connected in a peer-to-peer manner and anonymously perform trade electronically. The vast number of decentralized transactions and the pseudo-anonymity of participants open the door for scams, cyber frauds, hacks, money laundering and fraudulent transactions. It is challenging to detect such fraudulent activities using traditional auditing techniques, since they need more processing power, time and memory for complex queries ...
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    Blockchain is a digital technology built on three pillars: decentralization, transparency and immutability. Bitcoin and Ethereum are two prevalent Blockchain platforms, where the participants are globally connected in a peer-to-peer manner and anonymously perform trade electronically. The vast number of decentralized transactions and the pseudo-anonymity of participants open the door for scams, cyber frauds, hacks, money laundering and fraudulent transactions. It is challenging to detect such fraudulent activities using traditional auditing techniques, since they need more processing power, time and memory for complex queries to join combinations of tables. This paper proposes several algorithms to extract the transaction- related features from the Bitcoin and Ethereum networks and to represent the features as graphs. Moreover, the paper discusses how visualisation of graphs can reflect the anomalies and patterns of fraudulent activities.
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    Conference Title
    Proceedings - Conference on Local Computer Networks, LCN
    Volume
    2021-October
    DOI
    https://doi.org/10.1109/LCN52139.2021.9524878
    Subject
    Data structures and algorithms
    Information systems
    Computer hacking
    Conferences
    Smart contracts
    Data visualization
    Bitcoin
    Feature extraction
    Blockchains
    Publication URI
    http://hdl.handle.net/10072/411862
    Collection
    • Conference outputs

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