Multi-Blockchain Backup & Restore System with Zero-Knowledge Proofs (ZKPs)

Maintaining data authenticity, security, reliability, and integrity is challenging in decentralized storage and backup systems. Existing blockchain-based backup systems majorly depend on centralized off-chain storage or single-chain implementation, which leaves them vulnerable to security flaws, high expenses, and single points of failure. In this study, a multi-blockchain backup and restore system incorporates Zero-Knowledge Proofs (ZKPs) for data integrity verification and threshold cryptography for secure access control. Unlike traditional blockchain storage, this system distributes backup metadata across multiple blockchains (Ethereum, Hyperledger) while storing encrypted data in decentralized storage (IPFS). ZKPs provide integrity verification without revealing data, hence improving privacy and security. Also, Shamir’s Secret Sharing provides multi-party authentication for restoration, prohibiting unauthorized access. The system outperforms existing models by improving fault tolerance, privacy, and security compliance while reducing storage costs. Experimental evaluations compare the storage efficiency, retrieval speed, and security of this method against existing blockchain-based storage methods. This work proposes an innovative decentralized backup and restore system for managing security, efficiency, and redundancy, offering a robust solution for secure and verifiable data management in blockchain environments.

Authors

Institutions

Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/ncim65934.2025.11160331
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Blockchain Backup & Restore System with Zero-Knowledge Proofs (ZKPs)

Sudipta Chowdhury, Ishraq Samiha
Blockchain Technology Applications and Security
article

Multi-Blockchain Backup & Restore System with Zero-Knowledge Proofs (ZKPs)

Sudipta Chowdhury, Ishraq Samiha
article en

Abstract

Maintaining data authenticity, security, reliability, and integrity is challenging in decentralized storage and backup systems. Existing blockchain-based backup systems majorly depend on centralized off-chain storage or single-chain implementation, which leaves them vulnerable to security flaws, high expenses, and single points of failure. In this study, a multi-blockchain backup and restore system incorporates Zero-Knowledge Proofs (ZKPs) for data integrity verification and threshold cryptography for secure access control. Unlike traditional blockchain storage, this system distributes backup metadata across multiple blockchains (Ethereum, Hyperledger) while storing encrypted data in decentralized storage (IPFS). ZKPs provide integrity verification without revealing data, hence improving privacy and security. Also, Shamir’s Secret Sharing provides multi-party authentication for restoration, prohibiting unauthorized access. The system outperforms existing models by improving fault tolerance, privacy, and security compliance while reducing storage costs. Experimental evaluations compare the storage efficiency, retrieval speed, and security of this method against existing blockchain-based storage methods. This work proposes an innovative decentralized backup and restore system for managing security, efficiency, and redundancy, offering a robust solution for secure and verifiable data management in blockchain environments.

Chittagong University of Engineering & Technology (BD)
Openalex Percentile: Top 63%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.