Blockchain-Anchored Audit Trail Model for Transparent Inter-Operator Settlement

Authors

  • Balakumar Ravindranath Kunthu, Ranganath Nagesh Taware, Sathish Krishna Anumula

Keywords:

Blockchain-anchored audit trails, Distributed ledger technology, Inter-operator settlement, Smart contract automation, Immutable record-keeping, Real-time reconciliation, Permissioned consensus mechanisms, Regulatory compliance frameworks, Settlement finality verification, Transaction transparency.

Abstract

The telecommunications and financial services industries face substantial challenges in inter-operator settlement processes, characterized by extended reconciliation cycles, high transaction costs, and limited real-time transparency. Traditional settlement mechanisms rely on multiple intermediaries and manual procedures, resulting in settlement periods exceeding 120 days with operational costs consuming approximately 5 percent of total revenue. This research presents a blockchain-anchored audit trail model enabling transparent, immutable, and automated inter-operator settlement. The framework leverages distributed ledger technology, smart contract automation, and cryptographic verification to establish a unified, tamper-proof transaction record. Empirical evaluation demonstrates 87 percent reduction in transaction fees, settlement cycle compression from 120 days to 3 minutes, and 100 percent audit trail integrity. Smart contract automation reduces manual intervention by 92 percent and eliminates 88 percent of settlement disputes. Market analysis indicates institutional adoption accelerated from 8 percent in 2020 to 52 percent by April 2024, with projected industry investment reaching 9.2 billion USD annually. The framework addresses scalability (12,000 transactions per second), interoperability, and regulatory compliance across multiple jurisdictions.

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Published

30.06.2024

How to Cite

Balakumar Ravindranath Kunthu. (2024). Blockchain-Anchored Audit Trail Model for Transparent Inter-Operator Settlement. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 5924–5935. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7919

Issue

Vol. 12 No. 4 (2024)

Section

Research Article

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