20.500.12556/DKUM-95120 A comprehensive survey on integration of machine learning with secure blockchain-based applications Machine learning (ML) is a critical technology that provides pervasive intelligence for the Internet of Things (IoT), enabling smart decision and automation. Meanwhile, Blockchain has emerged as a reliable, secure, decentralized and distributed network with applications in a variety of sectors like healthcare, insurance, finance, banking, and business. The integration of blockchain and ML may further enhance security, optimize data processing and ensure intelligent automation. The linkage of blockchain technology with ML aims to safeguard the privacy of ML models by executing blockchain transparency functions. However, maintaining the integrity of ML models and optimizing blockchain process are challenging. The integration in this work aims to solve challenges like security vulnerability, scalability and computational efficiency. Integration enables automation through smart contracts, enabling secure decision making while preserving data integrity and supporting auditing tasks. Moreover, the security benefits of blockchain networks result from anomaly detection technologies enabled by ML that detects fraudulent activities while defending blockchain networks from security threats. This work presents an organized approach to examine contemporary blockchain-ML research developments, analysis of applications based on the integration of blockchain and ML, technical aspects of Integration and its case studies. Finally, integration with respect to industry focus, followed by open challenges and research problems in ML-based blockchain technology, future directions and emerging trends are discussed in this survey. machine learning blockchain artificial intelligence security privacy regression strojno učenje verižni bloki umetna inteligenca varnost zasebnost regresija true false true Kluwer Angleški jezik Slovenski jezik https://link.springer.com/journal/10586 The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025 Članek v reviji 2025-09-05 06:09:41 2025-09-05 06:09:42 2026-07-01 07:23:31 0000-00-00 00:00:00 2025 0 0 35 str. Vol. 28, article no. 632 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2024-12-11 2025-04-25 2025-09-03 004.8 247684611 10.1007/s10586-025-05330-z 1573-7543 s10586-025-05330-z_(1).pdf s10586-025-05330-z_(1).pdf 1 6EDA0DA69DDE24813606DA5A82655E4E 923e58b4b866f27ba5b75969dd1058a2f952df9b41672fc38f0bc00f0875eb5f a1bc28a3-8a0e-11f0-b26f-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=197695 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0