Machine Learning Algorithms for Optimizing Blockchain-Based Decentralized Autonomous Organizations
- Title
- Machine Learning Algorithms for Optimizing Blockchain-Based Decentralized Autonomous Organizations
- Creator
- Chandra, Akkaraju Sailesh; Iyer, Lakshmi Shankar; Helen Josephine, V.L.; Shankar, Nisha
- Description
- This research investigates the integration of machine learning algorithms within blockchain-based Decentralized Autonomous Organizations (DAOs) to enhance operational efficiency, resource allocation, decision-making, and governance. While DAOs provide a transparent and trustless mechanism for digital collaboration, they face challenges related to scalability, bias, data privacy, and coordination. We propose a novel framework that leverages supervises learning models for predictive analytics, reinforcement learning for autonomous decision-making, and unsupervised learning for anomaly detection in DAO voting and resource usage patterns. The study also addresses security and privacy risks by incorporating federated learning and homomorphic encryption. Our proposed model demonstrates improved throughput, decision accuracy, and fairness, as evidenced by performance benchmarks against traditional DAO implementations. The findings suggest that machine learning can significantly optimize DAO architecture and contribute to a more scalable, democratic, and intelligent decentralized ecosystem. 2025 IEEE.
- Source
- 2025 IEEE 5th International Conference on ICT in Business Industry and Government, ICTBIG 2025;
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Anomaly Detection; Blockchain Technology; DAO Governance; Federated Learning; Homomorphic Encryption; Machine Learning; Natural Language Processing; Privacy Preservation; Reinforcement Learning; Resource Allocation
- Coverage
- Chandra A.S., School of Business and Management, CHRIST (Deemed to Be University), India; Iyer L.S., School of Business and Management, CHRIST (Deemed to Be University), India; Helen Josephine V.L., School of Business and Management, CHRIST (Deemed to Be University), India; Shankar N., School of Business and Management, CHRIST (Deemed to Be University), India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833157981-4;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Chandra, Akkaraju Sailesh; Iyer, Lakshmi Shankar; Helen Josephine, V.L.; Shankar, Nisha, “Machine Learning Algorithms for Optimizing Blockchain-Based Decentralized Autonomous Organizations,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26119.