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A blockchain-based forensic model for financial crime investigation: the embezzlement scenario

Author

Listed:
  • Lamprini Zarpala

    (Piraeus University)

  • Fran Casino

    (Piraeus University
    Athena Research Center)

Abstract

The financial crime landscape is evolving along with the digitisation of financial services. Laws, regulations and forensic methodologies cannot efficiently cope with the growth pace of novel technologies, which translates into late adoption of measures and legal voids, providing a fruitful landscape for malicious actors. In this regard, the features offered by blockchain technology, such as immutability, verifiability, and authentication, enhance the robustness of financial forensics. This paper provides a taxonomy of the prevalent financial investigation techniques and a thorough state-of-the-art of blockchain-based digital forensic approaches. Moreover, we design and implement a forensic investigation framework based on standardised procedures and document the corresponding methodology for embezzlement scheme investigations. The feasibility and adaptability of our approach can be extended and embrace all types of fraud investigations and regular internal audits. We provide a functional Ethereum-based implementation, and we integrate standardised forensic flows and chain of custody preservation mechanisms. Finally, we discuss the challenges of the symbiotic relationship between blockchain and financial investigations, along with the managerial implication and future research directions.

Suggested Citation

  • Lamprini Zarpala & Fran Casino, 2021. "A blockchain-based forensic model for financial crime investigation: the embezzlement scenario," Digital Finance, Springer, vol. 3(3), pages 301-332, December.
  • Handle: RePEc:spr:digfin:v:3:y:2021:i:3:d:10.1007_s42521-021-00035-5
    DOI: 10.1007/s42521-021-00035-5
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    References listed on IDEAS

    as
    1. Ye Guo & Chen Liang, 2016. "Blockchain application and outlook in the banking industry," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-12, December.
    2. Gullkvist, Benita & Jokipii, Annukka, 2013. "Perceived importance of red flags across fraud types," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 24(1), pages 44-61.
    3. Min Xu & Xingtong Chen & Gang Kou, 2019. "A systematic review of blockchain," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-14, December.
    4. Wolfgang Radinger-Peer & Bernhard Kolm, 2020. "A Blockchain-Driven Approach to Fulfill the GDPR Recording Requirements," Progress in IS, in: Horst Treiblmaier & Trevor Clohessy (ed.), Blockchain and Distributed Ledger Technology Use Cases, pages 133-148, Springer.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Gan, QingQiu & Lau, Raymond Yiu Keung, 2024. "Trust in a ‘trust-free’ system: Blockchain acceptance in the banking and finance sector," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    2. Udit Agarwal & Vinay Rishiwal & Sudeep Tanwar & Mano Yadav, 2024. "Blockchain and crypto forensics: Investigating crypto frauds," International Journal of Network Management, John Wiley & Sons, vol. 34(2), March.

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    More about this item

    Keywords

    Fraud detection; Blockchain; Chain of custody; Embezzlement; Digital forensics;
    All these keywords.

    JEL classification:

    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • K41 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Litigation Process
    • M42 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Auditing
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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