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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

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IoT data security in outsourced databases: A survey of verifiable database.

Ailin Chen¹, Shaoyuan Yu¹, Xinyi Yang²

¹China Electric Power Research Institute, Nanjing, 210003, China.

|April 8, 2024

Summary

Verifiable databases (VDBs) allow resource-limited clients to securely store large datasets on untrusted cloud servers, detecting any tampering attempts. This paper systematically reviews VDB definitions, proofs, constructions, and applications.

Keywords:

Commitments Delegating polynomial functions IoT Verifiable database

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Area of Science:

Computer Science
Information Security
Cloud Computing

Background:

Internet of Things (IoT) devices generate massive data, necessitating offloading to cloud servers.
Outsourced data storage in cloud environments faces risks of tampering and unauthorized modification.
Verifiable Database (VDB) technology emerged to address secure data outsourcing challenges.

Purpose of the Study:

To provide a comprehensive and systematic review of Verifiable Database (VDB) concepts and schemes.
To categorize existing VDB schemes based on underlying assumptions and group structures.
To explore current applications and future research directions for VDB technology.

Main Methods:

Definition and formal proofs (correctness and security) of VDB.
Categorization of VDB schemes based on commitment constructions (vector and polynomial commitments).
Analysis of VDB schemes utilizing delegated polynomial functions, Merkle trees, and searchable encryption.
Classification of VDB schemes based on four distinct assumptions and two different group structures.

Main Results:

Systematic summary of VDB technology, including foundational definitions and security guarantees.
Detailed overview of VDB constructions, differentiating between commitment-based and delegated polynomial function-based schemes.
Comprehensive classification of existing VDB schemes, aiding in understanding their diversity and underlying principles.

Conclusions:

VDBs offer a robust solution for secure data outsourcing in cloud and IoT environments.
The review provides a foundational resource for researchers and practitioners in verifiable data management.
Future research should focus on expanding VDB applications and exploring novel construction techniques.