Enhancing Blockchain Transaction Tracking: A Systematic Review of DLT-Based Financial Systems
| Type of publication: | Inproceedings |
| Citation: | |
| Booktitle: | IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (IEEE MetroXRAINE) |
| Year: | 2025 |
| Abstract: | Distributed Ledger Technologies (DLTs) fuse cryptographic immutability with decentralized consensus, transforming global finance, simultaneously hindering the forensic reconstruction of illicit value flows. This paper presents a systematic mapping of financial transaction tracing on DLTs through a rigorously designed Systematic Literature Review (SLR). Six research questions - covering enabling technologies, privacy primitives, tracking methods, structural limits, proposed mitigations, and future directions - guided the search. Three reviewers screened 120 publications from 2017-2025, resolving disagreements by adjudication and distilling 21 primary studies (17.5 % acceptance). The corpus converges on four technical pillars: heuristic/graph-based address clustering, machine-learning anomaly detection, cross-ledger correlation frameworks, and privacy-enhancing constructs such as ring signatures and zk-SNARKs. Our synthesis exposes a persistent tri-lemma among scalability, attribution accuracy, and privacy compliance, exacerbated by heterogeneous protocol designs and data-retention costs. To reconcile these issues, we articulate a four-layer tracing architecture that integrates high-throughput multi-chain ingestion, cache-efficient temporal graph indexing, explainable risk scoring, and privacy-preserving off-chain fusion with KYC anchors. This blueprint offers regulators, investigators, and researchers a scalable, GDPR-aligned pathway for illuminating opaque financial networks, while establishing a consolidated knowledge base and a forward research agenda for next-generation DLT traceability. |
| Keywords: | AML, blockchain, DLT, Privacy- preservation, Transaction tracing |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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