Enhanced IoT Supported Blockchain Information Sharing Framework for Banking Transaction Fraud Detection and Workload Design
DOI:
https://doi.org/10.69996/jsihs.2026012Keywords:
Banking Transaction Fraud Detection, Universal Access Controller (UAC), User Data Requirement (UDR), Private Data Center (PDC), IoT-BlockchainAbstract
Power BI is essential for detecting money laundering in Kaggle banking fraud datasets.Securing smart contracts against quantum threats is vital. Regular retraining of machine learning models and AI-blockchain integration enhance secure data sharing and confidentiality in banking. To overcome this issue a new model Enhanced IoT Supported Blockchain Information Sharing and Workload Design (EIBIWD). To ensure consistent data presentation and restrict access, the information sharing process utilizes the User Data Requirement (UDR) procedure and the Universal Access Controller (UAC) methodology. The PaySim models real-life financial scenarios, including interbank transactions, micropayments, batch settlements, and fraud. Workload patterns encompass arrival rate, execution time, transaction amount, account details, balance, fraud indicators, micropayment limits, transactions per second, endorsing peers, and batch parameters. IoT lattice-based blockchain provides quantum-resistant security for IoT devices, enhancing financial applications through cryptography, smart contracts, and secure key exchanges. The HyperNet model facilitates secure data control in the Private Data Center (PDC), with UDR and UAC ensuring data consistency. The PaySim model addresses financial activities, focusing on metrics like fraud indicators and transaction rates. The IoTBlockchain System employs this technology for secure financial operations. The performance analysis is transaction, latency, throughput, validation of digital signature calculations.
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