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Blockchain Technology Revolutionizes Digital Forensics and Fraud Detection

The growing reliance on digital technologies has given rise to a new era of cybersecurity threats, making it increasingly crucial for forensic experts and fraud investigators to stay ahead of the curve. Recently, researchers have been exploring the potential of blockchain technology to enhance digital forensics and fraud detection.

Blockchain-based Digital Forensics


A study by Pourvahab et al. (2019) demonstrated the effectiveness of a blockchain-driven architecture in collecting and preserving evidence in cloud environments. Another study by Ricci et al. (2019) proposed a blockchain- based framework for digital forensics in distributed cloud storage systems.

In addition, researchers have been investigating the use of blockchain technology to improve the integrity and transparency of forensic investigations. For example, Ryu et al. (2019) developed a decentralized investigation framework that utilizes blockchain to facilitate efficient and secure evidence sharing.

Fraud Detection with Graph-Based Anomaly Detection


A systematic literature review by Pourhabibi et al. (2020) highlighted the potential of graph-based anomaly detection approaches in fraud detection. The study analyzed various machine learning techniques used in detecting financial frauds and identified areas for future research.

Blockchain’s Role in Fraud Prevention


The use of blockchain technology has also been explored as a means to prevent financial statement fraud. Wolverton et al.’s (2019) report highlights the potential benefits of blockchain in enhancing transparency and accountability in financial reporting.

Consensus Protocols and Identity Management


In related research, Xiao et al. (2020) conducted a survey on distributed consensus protocols for blockchain networks, while Xu et al. (2020) proposed an identity management scheme based on redactable blockchain for mobile networks.

The Future of Digital Forensics and Fraud Detection


As the digital landscape continues to evolve, it is clear that blockchain technology will play a crucial role in enhancing digital forensics and fraud detection. Researchers and practitioners must continue to explore innovative applications of this technology to stay ahead of emerging threats and ensure the integrity of digital evidence.

References:

  • Pourhabibi, T., Ong, K. L., Kam, B. H., & Boo, Y. L. (2020). Fraud detection: A systematic literature review of graph-based anomaly detection approaches. Decision Support Systems, 133, pp. 113303.
  • Pourvahab, M., & Ekbatanifard, G. (2019). Digital forensics architecture for evidence collection and provenance preservation in iaas cloud environment using sdn and blockchain technology. IEEE Access, 7, 153349–153364.
  • Ricci, J., et al. (2019). Blockchain-Based Distributed Cloud Storage Digital Forensics: Where’s the Beef? IEEE Security and Privacy, 17(1), 34–42.
  • Ryu, J. H., et al. (2019). A blockchain-based decentralized efficient investigation framework for IoT digital forensics. Journal of Supercomputing, 75(8), 4372–4387.
  • Sadgali, I., Sael, N., & Benabbou, F. (2019). Performance of machine learning techniques in the detection of financial frauds. Procedia computer science, 148, 45–54.
  • Samanta, P., & Jain, S. (2018). E-Witness: Preserve and Prove Forensic Soundness of Digital Evidence. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, ACM, pp. 832–834.
  • ShenTu, Q., & Yu, J. (2015). Research on anonymization and de-anonymization in the bitcoin system. arXiv:151007782.
  • Zhang, Y., et al. (2018). A blockchain-based process provenance for cloud forensics. In 2017 3rd IEEE International Conference on Computer and Communications (ICCC), IEEE, pp. 2470–2473.
  • Zheng, Z., et al. (2018). Blockchain challenges and opportunities: A survey. International Journal of Web and Grid Services, 14(4), 352–375.
  • Zhu, X., & Badr, Y. (2018). Identity management systems for the internet of things: A survey towards blockchain solutions. Sensors, 18(12), 4215.
  • Zou, R., et al. (2019). Blockchain-based photo forensics with permissible transformations. Computers and Security, 87, 101567.