A Quantum-Resistant Federated Blockchain Framework For Secure Multi-Institutional Healthcare Data Sharing And Clinical Decision Automation

The increasing demand for security and privacy-preserving collaboration among healthcare institutions presents significant challenges in data sharing, consent enforcement, and diagnostic automation, especially considering emerging quantum threats. This paper introduces PQ-FedCare, an innovative federated system architecture that incorporates post-quantum cryptography, zero-knowledge proofs, and smart contract–governed diagnostics to facilitate verifiable and privacy-compliant clinical collaboration. The proposed framework supports decentralized identity validation, encrypted consent delegation, and encrypted rule execution across blockchain-connected healthcare nodes. Using CRYSTALS-Kyber and SPHINCS+ for quantum-resistant security and zk-SNARKs for proof generation, PQ-FedCare ensures zero data exposure while enabling real-time, cross-institutional medical decision support. Evaluation on real-world clinical datasets (MIMIC-III, TCGA, and GEO GSE12102) demonstrates superior performance over recent baselines in diagnostic accuracy (94.5%), privacy leakage (0%), and proof verification time (92 ms). Additional stress tests confirm the system’s robustness against missing data and scalability across federated nodes. The findings establish PQ-FedCare as a forward-compatible infrastructure for secure, accountable, and future-proof federated healthcare diagnostics. The proposed work is particularly suited for high-stakes clinical environments demanding transparency, regulatory compliance, and resistance to quantum-era attacks.

Authors

Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-08-11
DOI
https://doi.org/10.64252/2t2acy89
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Quantum-Resistant Federated Blockchain Framework For Secure Multi-Institutional Healthcare Data Sharing And Clinical Decision Automation

Chandra Shekhar Yadav, V. Ananthakrishna, Bajrang Lal
1 citations
International Journal of Environmental Sciences
Blockchain Technology Applications and Security
3.25
article

A Quantum-Resistant Federated Blockchain Framework For Secure Multi-Institutional Healthcare Data Sharing And Clinical Decision Automation

Chandra Shekhar Yadav, V. Ananthakrishna, Bajrang Lal
article en
1 citations

Abstract

The increasing demand for security and privacy-preserving collaboration among healthcare institutions presents significant challenges in data sharing, consent enforcement, and diagnostic automation, especially considering emerging quantum threats. This paper introduces PQ-FedCare, an innovative federated system architecture that incorporates post-quantum cryptography, zero-knowledge proofs, and smart contract–governed diagnostics to facilitate verifiable and privacy-compliant clinical collaboration. The proposed framework supports decentralized identity validation, encrypted consent delegation, and encrypted rule execution across blockchain-connected healthcare nodes. Using CRYSTALS-Kyber and SPHINCS+ for quantum-resistant security and zk-SNARKs for proof generation, PQ-FedCare ensures zero data exposure while enabling real-time, cross-institutional medical decision support. Evaluation on real-world clinical datasets (MIMIC-III, TCGA, and GEO GSE12102) demonstrates superior performance over recent baselines in diagnostic accuracy (94.5%), privacy leakage (0%), and proof verification time (92 ms). Additional stress tests confirm the system’s robustness against missing data and scalability across federated nodes. The findings establish PQ-FedCare as a forward-compatible infrastructure for secure, accountable, and future-proof federated healthcare diagnostics. The proposed work is particularly suited for high-stakes clinical environments demanding transparency, regulatory compliance, and resistance to quantum-era attacks.

International Journal of Environmental Sciences
Openalex Percentile: Top 7%
Blockchain Technology Applications and Security
3.25
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.