A Blockchain-Based Approach for Secure and Transparent e-Faktur Issuance in Indonesia's VAT Reporting System
- URL: http://arxiv.org/abs/2505.18157v1
- Date: Fri, 18 Apr 2025 11:13:12 GMT
- Title: A Blockchain-Based Approach for Secure and Transparent e-Faktur Issuance in Indonesia's VAT Reporting System
- Authors: G. L. Farchan,
- Abstract summary: This paper presents the design of a blockchain-based e-Faktur system aimed at addressing the challenges of issuing and verifying tax invoices within Indonesia's VAT reporting process.<n>The proposed system streamlines the issuance of NSFP and validates invoices while reducing reliance on centralized servers, eliminating single points of failure, and enhancing auditability.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The implementation of blockchain technology in tax administration offers promising improvements in security, transparency, and efficiency. This paper presents the design of a blockchain-based e-Faktur system aimed at addressing the challenges of issuing and verifying tax invoices within Indonesia's VAT reporting process. Utilizing Hyperledger Fabric, a private permissioned blockchain, integrated with Hyperledger FireFly, this system ensures data immutability, access control, and decentralized transaction processing. The proposed system streamlines the issuance of NSFP and validates invoices while reducing reliance on centralized servers, eliminating single points of failure, and enhancing auditability. Hypothetical cyberattack scenarios were explored to assess the system's robustness. The results demonstrate that blockchain technology mitigates potential vulnerabilities and improves the resilience of tax reporting systems. The findings highlight the feasibility of blockchain in public tax administration and provide a foundation for future research on large-scale implementations.
Related papers
- Decentralized Vulnerability Disclosure via Permissioned Blockchain: A Secure, Transparent Alternative to Centralized CVE Management [0.0]
This paper proposes a decentralized, blockchain-based system for the publication of Common Vulnerabilities and Exposures ( CVEs)<n>The proposed architecture leverages a permissioned blockchain, wherein only authenticated CVE Numbering Authorities (CNAs) are authorized to submit entries.<n>We evaluate the proposed model in comparison with existing practices, highlighting its advantages in transparency, trust decentralization, and auditability.
arXiv Detail & Related papers (2025-05-01T12:12:08Z) - Balancing Confidentiality and Transparency for Blockchain-based Process-Aware Information Systems [46.404531555921906]
We propose an architecture for blockchain-based PAISs aimed at preserving both confidentiality and transparency.<n>Smart contracts enact, enforce and store public interactions, while attribute-based encryption techniques are adopted to specify access grants to confidential information.
arXiv Detail & Related papers (2024-12-07T20:18:36Z) - SPOQchain: Platform for Secure, Scalable, and Privacy-Preserving Supply Chain Tracing and Counterfeit Protection [46.68279506084277]
This work proposes SPOQchain, a novel blockchain-based platform that provides comprehensive traceability and originality verification.
It provides an analysis of privacy and security aspects, demonstrating the need and qualification of SPOQchain for the future of supply chain tracing.
arXiv Detail & Related papers (2024-08-30T07:15:43Z) - It Takes Two: A Peer-Prediction Solution for Blockchain Verifier's Dilemma [12.663727952216476]
We develop a Byzantine-robust peer prediction framework towards the design of one-phase Bayesian truthful mechanisms for the decentralized verification games.<n>Our study provides a framework of incentive design for decentralized verification protocols that enhances the security and robustness of the blockchain.
arXiv Detail & Related papers (2024-06-03T21:21:17Z) - Enhancing Data Integrity and Traceability in Industry Cyber Physical Systems (ICPS) through Blockchain Technology: A Comprehensive Approach [0.0]
This study explores the potential of blockchain in enhancing data integrity and traceability within Industry Cyber-Physical Systems (ICPS)
ICPS is pivotal in managing critical infrastructure like manufacturing, power grids, and transportation networks.
This research unearths various blockchain applications in ICPS, including supply chain management, quality control, contract management, and data sharing.
arXiv Detail & Related papers (2024-05-08T06:22:37Z) - A Novel Endorsement Protocol to Secure BFT-Based Consensus in Permissionless Blockchain [1.3723120574076126]
BFT-based consensus mechanisms are widely adopted in the permissioned blockchain to meet the high scalability requirements of the network.
Sybil attacks are one of the most potential threats when applying BFT-based consensus mechanisms in permissionless blockchain.
This paper presents a novel endorsement-based bootstrapping protocol with a signature algorithm that offers a streamlined, scalable identity endorsement and verification process.
arXiv Detail & Related papers (2024-05-04T03:00:33Z) - Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities.
Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy.
This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
arXiv Detail & Related papers (2024-03-28T07:08:26Z) - Graph Attention Network-based Block Propagation with Optimal AoI and Reputation in Web 3.0 [59.94605620983965]
We design a Graph Attention Network (GAT)-based reliable block propagation optimization framework for blockchain-enabled Web 3.0.
To achieve the reliability of block propagation, we introduce a reputation mechanism based on the subjective logic model.
Considering that the GAT possesses the excellent ability to process graph-structured data, we utilize the GAT with reinforcement learning to obtain the optimal block propagation trajectory.
arXiv Detail & Related papers (2024-03-20T01:58:38Z) - Generative AI-enabled Blockchain Networks: Fundamentals, Applications,
and Case Study [73.87110604150315]
Generative Artificial Intelligence (GAI) has emerged as a promising solution to address challenges of blockchain technology.
In this paper, we first introduce GAI techniques, outline their applications, and discuss existing solutions for integrating GAI into blockchains.
arXiv Detail & Related papers (2024-01-28T10:46:17Z) - Aid Nexus : A Blockchain Based Financial Distribution System [0.7366405857677227]
By leveraging decentralized ledger systems, blockchain offers enhanced security, transparency, and transaction verification without the need for intermediaries.
The finance sector is exploring blockchain-based solutions for payments, remittances, lending, and investments.
Healthcare adopts the technology for medical record keeping, supply chain tracking, and data management.
Other sectors, including real estate, energy, and government, are also investigating blockchain-based solutions.
arXiv Detail & Related papers (2023-11-14T18:35:02Z) - Regulation conform DLT-operable payment adapter based on trustless -
justified trust combined generalized state channels [77.34726150561087]
Economy of Things (EoT) will be based on software agents running on peer-to-peer trustless networks.
We give an overview of current solutions that differ in their fundamental values and technological possibilities.
We propose to combine the strengths of the crypto based, decentralized trustless elements with established and well regulated means of payment.
arXiv Detail & Related papers (2020-07-03T10:45:55Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.