A Threshold Cryptography Framework for Secure and Resilient Symmetric Key Management in Multi-Cloud Environments
This paper addresses the critical security and availability risks inherent in centralized key management systems (KMS) for cloud data protection. The compromise or failure of a single KMS can lead to catastrophic data breaches or loss of access. We propose a decentralized framework to mitigate this single point of failure. Technology or Method: We introduce the Threshold Key Management System (TKMS), a novel framework that leverages threshold cryptography to manage symmetric encryption keys. The framework employs a (k, n)-threshold secret sharing scheme to shard a master symmetric key across n independent Key Management Nodes (KMNs), which are distributed across multiple cloud provider infrastructures. Key generation is performed collaboratively using a Distributed Key Generation (DKG) protocol, eliminating the need for a trusted dealer. Results: The security analysis demonstrates that TKMS guarantees key confidentiality as long as fewer than k KMNs are compromised. The system provides high availability, tolerating the failure of up to n − k nodes. The projected performance evaluation indicates that the cryptographic overhead is manageable and offers a favorable trade-off for the significantly enhanced security and resilience. Conclusions: TKMS presents a robust and fault-tolerant alternative to traditional cloud KMS. By distributing trust across multiple administrative domains, it significantly raises the bar for attackers and protects against provider-level failures. Impact: This work provides a practical blueprint for building highly secure, resilient, and trust-minimized data protection services in the cloud, with direct applications in securing sensitive corporate data, personal information, and critical infrastructure backups.
Authors
- Manan Wason
- Anil Kumar (ORCID: https://orcid.org/0000-0002-3945-4646)
- Durgesh Pant (ORCID: https://orcid.org/0000-0003-4834-6273)
- Shruti Lohani
Publication Details
- Journal
- International Journal of Global Innovations and Solutions (IJGIS)
- Published
- 2025-08-30
- DOI
- https://doi.org/10.63412/65na4629
- Primary Topic
- Cloud Data Security Solutions
- Type
- article
- Field-Weighted Citation Impact
- 0.00