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KATENA: a verifiable governance architecture for encrypted cloud storage systems.

Jesús F Rodríguez-Aragón^1,2, Carolina Zato³, Francisco Pinto-Santos³

¹School of Engineering and Technology (ESIT), International University of La Rioja (UNIR), Logroño, Spain.

Frontiers in Big Data

|June 1, 2026

Summary

This study introduces KATENA, a novel architecture for encrypted cloud storage. KATENA ensures verifiable data governance, allowing clients to independently audit operations like sharing and revocation without trusting the provider.

Keywords:

client-controlled encryption cloud security encrypted cloud storage hierarchical key management transparency logs verifiable governance

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Area of Science:

Computer Science
Information Security
Cloud Computing

Background:

Modern cloud storage relies on client-controlled encryption for data confidentiality.
However, governance operations (sharing, revocation, policy updates) in encrypted cloud environments lack transparency for users and auditors.
This creates a gap between data confidentiality and verifiable governance.

Purpose of the Study:

To introduce KATENA (Key Architecture for Trustworthy Encrypted Networked Archives), an architectural model for verifiable governance in encrypted cloud storage.
To bridge the gap between client-controlled encryption and verifiable data governance.
To enable independent validation of governance events by clients.

Main Methods:

Developed an architectural model integrating hierarchical key orchestration.
Incorporated transparency-based governance logging.
Utilized cryptographically verifiable governance artifacts.

Main Results:

KATENA enables client-verifiable governance in encrypted cloud storage systems.
Clients can independently validate governance events without provider trust.
Provides a governance-by-design framework for data-intensive cloud systems.

Conclusions:

KATENA successfully addresses the challenge of verifiable data governance in encrypted cloud storage.
The proposed framework enhances accountability and transparency in cloud data management.
This work is crucial for securing sensitive information in modern data-intensive infrastructures.