Securing Confidentiality in Distributed Ledger Systems with Secure Multi-party Computation for Financial Data Protection
Ademola Oluwaseun Salako, Temilade Oluwatoyin Adesokan-Imran, Olufisayo Juliana Tiwo, Olufunke Cynthia Metibemu, Ogechukwu Scholastica Onyenaucheya, Oluwaseun Oladeji Olaniyi
Journal of Engineering Research and Reports · pp. 352–373 · Published 11 Mar 2025
10.9734/jerr/2025/v27i31439Abstract
This study addresses confidentiality challenges in financial Distributed Ledger Systems (DLS) using Secure Multi-Party Computation (SMPC). By analyzing real-world datasets, it evaluates privacy risks, protocol efficiency, and system resilience. Findings highlight SMPC’s role in enhancing security while balancing computational efficiency. Using the Elliptic AML Bitcoin Transactions dataset, anomaly detection (Isolation Forest) identifies financial confidentiality vulnerabilities, revealing that anomalous transactions exhibit a 336.1% increase in volume and a 15.5% rise in frequency, suggesting heightened risks. A comparative analysis of SMPC protocols utilizing the MP-SPDZ benchmark dataset and one-way ANOVA confirms that Yao’s Garbled Circuits is the most computationally efficient (180.50 ms execution time), whereas Shamir’s Secret Sharing offers superior security (0.73 high-probability security). Kaplan-Meier survival analysis of Verizon DBIR 2024 establishes that SMPC extends financial system longevity (36.11 months vs. 21.91 months for traditional encryption). Recommendations include integrating scalable SMPC models, standardizing regulatory frameworks, optimizing algorithmic efficiency, and enhancing anomaly detection in financial DLS.
Cited by 9
Hongyi Hao · Discover Applied Sciences · 2025
Haluk Eren, Özgür Karaduman, Muharrem Tuncay Gençoğlu · Applied Sciences · 2025
Hadiseh Rezaei, Rahim Taheri, Ehsan Nowroozi · IEEE Open Journal of the Communications Society · 2026
Bo Zhang, Wen Jun Tan, Wentong Cai · International Journal of Production Research · 2025
Nanyeneke Ravana Mayeke · Computer Science & IT Research Journal · 2025
Muhammad Nasir Mumtaz Bhutta, Ghulam Irtaza, Abid Mehmood · Peer-to-Peer Networking and Applications · 2025
Partha Pratim Ray · Expert Systems · 2026
Showing 7 of 9 known citations — external sources report more than can currently be individually listed.
Related research
- Comparative Analysis of Fully Convolutional Networks (FCN), SegNet, and U-Net for Semantic Segmentation of Synthetic Wafer Map Defect Patterns — shares topic coverage
- Attack and Anomaly Detection in IoT Networks using Machine Learning Techniques: A Review — shares topic coverage
- State-of-the-Art Violence Detection Techniques: A review — shares topic coverage
- Combating the Challenges of False Positives in AI-Driven Anomaly Detection Systems and Enhancing Data Security in the Cloud — shares topic coverage
- A Machine Learning Algorithm Based on Inverse Problems for Cyber Anomaly Detection — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
9
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.