Data Sovereignty and Decentralization Storage System

Introduction

As issues such as privacy, security, and user control become increasingly prominent, data sovereignty has become an urgent topic in the digital age. Traditional models of data sovereignty are based on government control and data localization policies, but they face many limitations. To address these challenges, the concept of "data autonomy" ( DSS ) has emerged, aiming to empower individuals and organizations with full control over their data.

Blockchain technology, with its characteristics of Decentralization, transparency, immutability, and cryptographic security, is at the forefront of driving this transformation. Decentralized storage systems based on blockchain provide greater privacy, security, and reliability through distributed data storage.

As global attention to security, privacy, and data control continues to rise, the capabilities and limitations of decentralized storage systems still require in-depth study. Particularly driven by regulatory frameworks such as the EU GDPR, the demand for secure, user-controllable data solutions has become more urgent.

Research Background

Centralization, Decentralization and Distributed Storage Systems

The storage architecture is mainly divided into three types: Centralization, Decentralization, and Distributed Systems.

Centralized architecture relies on a single central node or server, which poses risks of single point of failure and security vulnerabilities. Decentralization architecture mitigates some risks of centralized systems by distributing responsibility across multiple authoritative nodes. Distributed architecture further advances decentralization by spreading data and computation tasks across multiple peer-to-peer nodes.

For DSS applications, Decentralization and distributed systems have obvious advantages, allowing users to retain control over their data while providing strong protection against failures and attacks.

Data Sovereignty, Data Autonomy and Self-Sovereign Identity

Data sovereignty refers to the principle that data is subject to the laws of the jurisdiction in which it is stored or processed. Data sovereignty ( DSS ) shifts control from centralized entities to data generators. Self-sovereign identity ( SSI ) is an extension of DSS, focusing on digital identity management.

The development of these concepts marks a shift in data management towards greater autonomy and control. Decentralization storage systems and the SSI framework provide an important technological foundation for achieving DSS, ensuring that users retain control over their data and identity in a data-driven world.

Decentralization Storage System ( DSS )

Decentralization storage systems distribute data across a peer-to-peer network, with each node contributing storage capacity and computing resources. This architecture eliminates single points of failure and enhances data resilience.

Blockchain integration is key to DSS, enhancing security and trust by providing immutable data transaction records. The blockchain-based privacy-preserving data storage system (BC-PDS) allows users to retain control even when sharing data.

Key Features of DSS

Decentralization storage systems have the following significant advantages:

• Decentralization: Data is distributed across multiple nodes, enhancing system resilience.
• User Control: Users have complete ownership and control over their data
• Enhanced security and privacy: Utilizing advanced encryption technology
• Redundancy and reliability: Multi-node data replication ensures high availability.
• Data portability: Avoid vendor lock-in
• Scalability: Able to handle the increasing amount of data

These features make DSS very suitable for achieving data sovereignty, ensuring user control over data, and enhancing security and privacy.

Evaluation Framework

When evaluating the DSS project, attention should be paid to the following core criteria:

1. Underlying Technology: Blockchain, DLT, or P2P Network
2. Main use cases: permanent storage, file sharing, etc.
3. Security Features: Encryption, Redundancy, Access Control
4. Privacy Protection Capability
5. The Utilization Degree of Blockchain
6. User control and data autonomy level
7. Version control support
8. Community Adoption and Ecosystem Maturity
9. Scalability
10. Redundancy and Availability
11. Resource Efficiency and Network Dependency
12. Cost Efficiency
13. Complexity and Integration Convenience

Conclusion

Blockchain-based decentralized storage systems offer promising solutions to the challenges of centralized data management. With advancements in blockchain technology and the proliferation of decentralized networks, the future of data management will be more secure, transparent, and under user control.

In subsequent research, we will delve into the competitive landscape of decentralized storage platforms, assess the specifics of major projects, and evaluate their alignment with the goals of data sovereignty. This will provide users and developers with a comprehensive assessment of the decentralized storage ecosystem.