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Journal of Emerging Trends in Blockchain Technology (JETBT)

Current Issue
Volume 3, Issue 3 - 2025 (January-December 2025 )

Volume 3 Issue 3 Cover

Issue Details:

Volume 3 Issue 3 (January-December 2025)
Total articles: 2

Issue Description:

This issue focuses on recent advancements, applications, and research challenges in Blockchain technology, including distributed ledgers, smart contracts, decentralized applications, security, and real-world implementation trends.

Dr. Parin Patel
Editor-in-Chief
Journal of Emerging Trends in Blockchain Technology (JETBT)

Articles in This Issue

Showing 2 of 2 articles
Research PaperID: JETBT330002

Hybrid Machine Learning and Blockchain Approaches for Secure and Transparent Stock Prediction in India

Dr. Kaushal Jani, Dr. Nisarg Patel
1/5/2026

Indian stock market, predictive analytics, blockchain technology, machine learning, LSTM, XGBoost, Random Forest, stock price forecasting, data integrity, data security, transparency, smart contracts, IPFS, decentralized storage, cryptographic hashing, hybrid model, financial technology, FinTech, regulatory compliance, data transparency, auditability, forecasting accuracy

Indian stock marketpredictive analyticsblockchain technologymachine learningLSTMXGBoost
2,441 views
771 downloads

Contributors:

 Dr. Kaushal Jani
ORCID
,
 Dr. Nisarg Patel
ORCID
Research PaperID: JETBT330001Pages 1-16

Blockchain-Based Intranet Banking Backup System for Emergency Cash Withdrawal During Network Outages

Dr. Kaushal Jani, Dr. Nisarg Patel
8/25/2025

Modern banking systems are heavily dependent on internet connectivity, making them vulnerable during network outages caused by cyberattacks, natural disasters, or warfare. This paper proposes a novel intranet-based backup system that enables customers to withdraw cash from their home branch ATMs during internet disruptions. The system utilizes local area network (LAN) infrastructure combined with blockchain technology to ensure secure, transparent, and tamper-proof transaction processing. Our proposed architecture implements a hybrid Byzantine Fault Tolerance (BFT) consensus algorithm to validate offline transactions and synchronize data once connectivity is restored. The system restricts withdrawals to predetermined limits at the customer's registered home branch, ensuring liquidity management and fraud prevention. Performance analysis demonstrates that the proposed system achieves 99.7% transaction success rate with an average processing time of 2.3 seconds while maintaining data integrity through cryptographic hashing. This research contributes to financial system resilience by providing a practical solution for maintaining critical banking services during emergency situations. Index Terms—Banking backup system, blockchain, Byzantine Fault Tolerance, disaster recovery, intranet, offline ATM, network resilience, emergency banking

offline bankingblockchainLAN-based ATM systemintranet bankingfinancial resiliencedisaster recovery
2,292 views
734 downloads

Contributors:

 Dr. Kaushal Jani
ORCID
,
 Dr. Nisarg Patel
ORCID
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