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

被引:2
作者
Lamprini Zarpala
Fran Casino
机构
[1] Department of Banking and Financial Management, Piraeus University, Piraeus
[2] Department of Informatics, Piraeus University, Piraeus
[3] Athena Research Center, Athens
来源
Digital Finance | 2021年 / 3卷 / 3-4期
基金
欧盟地平线“2020”;
关键词
Blockchain; Chain of custody; Digital forensics; Embezzlement; Fraud detection; G21; K41; K42; M42;
D O I
10.1007/s42521-021-00035-5
中图分类号
学科分类号
摘要
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. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.
引用
收藏
页码:301 / 332
页数:31
相关论文
共 123 条
  • [1] Ademu I.O., Et al., A new approach of digital forensic model for digital forensic investigation, International Journal of Advanced Computer Science and Applications, 2, 12, pp. 175-178, (2011)
  • [2] Cyber Criminals are Finding Ways to Steal Your Digital Dollars, (2020)
  • [3] Ali O., Ally M., Clutterbuckdwivedi Y., The state of play of blockchain technology in the financial services sector: A systematic literature review, International Journal of Information Management, 54, (2020)
  • [4] Al-Khateeb H., ). Blockchain for modern digital forensics: The chain-of-custody as a distributed ledger, . In: Advanced Sciences and Technologies for Security Applications, Springer, Cham, pp. 149-168, (2019)
  • [5] Allen S., IPFS Release V0.6.0, (2020)
  • [6] Antwi-Boasiako A., Venter H., A model for digital evidence admissibility assessment, Advances in Digital Forensics XIII, pp. 23-38, (2017)
  • [7] Fraud examiners manual, Association of Certified Fraud Examiners, (2020)
  • [8] Report to the Nations 2020 Global Study on Occupational Fraud and Abuse, (2020)
  • [9] Awoyemi J.O., Adetunmbi A.O., Oluwadare S.A., Credit card fraud detection using machine learning techniques: A comparative analysis, 2017 International Conference on Computing Networking and Informatics (ICCNI), IEEE, pp. 1-9, (2017)
  • [10] Banarescu A., Detecting and preventing fraud with data analytics, Procedia Economics and Finance, 32, pp. 1827-1836, (2015)