Enhancing security in financial transactions: a novel blockchain-based federated learning framework for detecting counterfeit data in fintech.

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作者： Hasnain,Rabbani ^[1] ; Muhammad Farrukh,Shahid ^[1] ; Tariq Jamil Saifullah,Khanzada ^[2] ; Shahbaz,Siddiqui ^[1] ; Mona Mamdouh,Jamjoom ^[3] ; Rehab Bahaaddin,Ashari ^[4] ; Zahid,Ullah ^[4] ; Muhammad Umair,Mukati ^[5] ; Mustafa,Nooruddin ^[6]

作者单位： Computer Science, FAST School of Computing, FAST-NUCES, Karachi, Sindh, Pakistan. ^[1] Computer Systems Engineering Department, Mehran UET, Hyderabad, Sindh, Pakistan.;Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia. ^[2] Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. ^[3] Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia. ^[4] Department of Electrical and Photonics Engineering, Technical University of Denmark, Denmark, DTU, Denmark. ^[5] College of Engineering, Karachi Institute of Economics and Technology, Karachi, Sindh, Pakistan. ^[6]

关键词 Counterfeit Data privacy Data security Decision tree Federated learning Fintech Fraud detection KNN Machine learning Privacy-enhancing technology

DOI 10.7717/peerj-cs.2280

PMID 39650451

发布时间 2024-12-11

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PeerJ. Computer science

2024年10卷

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Enhancing security in financial transactions: a novel blockchain-based federated learning framework for detecting counterfeit data in fintech.

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Enhancing security in financial transactions: a novel blockchain-based federated learning framework for detecting counterfeit data in fintech.

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