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 2
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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