Mathematical Models for Data Privacy in Blockchain-Enabled Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 92
Special Issue Editor
Special Issue Information
Dear Colleagues,
As blockchain technologies continue to expand across diverse sectors, the protection of sensitive data in decentralized systems has emerged as a fundamental challenge. Mathematical modeling is central to addressing this challenge, offering robust frameworks for privacy guarantees, secure computation, and verifiable data handling across a variety of application domains.
This Special Issue seeks contributions that develop and analyze mathematical models for data privacy in blockchain-enabled systems, with applicability across fields such as finance, IoT, supply chains, energy, and digital identity. The aim is to explore both foundational models and application-driven methodologies that address key privacy concerns in decentralized architectures.
Topics of interest include, but are not limited to, the following:
- Formal privacy models for blockchain-based data systems;
- Differential privacy and secure multiparty computation on distributed ledgers;
- Privacy-preserving smart contracts and zero-knowledge proofs;
- Game-theoretic frameworks for data governance and access control;
- Cryptographic protocols for decentralized data sharing;
- Mathematical analysis of federated and decentralized learning systems;
- Optimization and verification of privacy policies in blockchain networks;
- Applications of privacy models in IoT, finance, and logistics.
We welcome both theoretical advancements and case studies that demonstrate the applicability of mathematical methods in real-world blockchain-enabled environments.
Dr. Ajay Kumar Shrestha
Guest Editor
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Keywords
- data privacy
- blockchain
- distributed systems
- smart contracts
- secure data sharing
- cryptographic models
- differential privacy
- federated learning
- game theory
- Internet of Things
- supply chain security
- financial systems
- mathematical modeling
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