Attribute Based Management of Secure Kubernetes Cloud Bursting

In contemporary cloud computing, ensuring flexible and scalable service orchestration alongside strong security measures is crucial. This paper presents a novel strategy for securely managing cloud bursting in Kubernetes by integrating Attribute-Based Encryption (ABE) with Kubernetes labelling. Our proposed model tackles challenges related to complexity, cost, and compliance with data protection regulations by leveraging both Kubernetes and ABE. The approach introduces an attribute-based bursting mechanism that utilizes Kubernetes labels for orchestration, alongside an encryption component that employs ABE to safeguard data. This integrated management framework enhances data confidentiality while optimizing cloud bursting efficiency. By merging label-based orchestration with fine-grained encryption, our model delivers a secure yet user- Venkata Nikhilsolution. A proof-of-concept implementation validates the practicality and effectiveness of our approach, demonstrating its capability to align with security and privacy regulations while addressing the demands of modern cloud environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-22
DOI
https://doi.org/10.5281/zenodo.15263368
Primary Topic
Adipokines, Inflammation, and Metabolic Diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Attribute Based Management of Secure Kubernetes Cloud Bursting

Zenodo (CERN European Organization for Nuclear Research)
Adipokines, Inflammation, and Metabolic Diseases
article

Attribute Based Management of Secure Kubernetes Cloud Bursting

article en

Abstract

In contemporary cloud computing, ensuring flexible and scalable service orchestration alongside strong security measures is crucial. This paper presents a novel strategy for securely managing cloud bursting in Kubernetes by integrating Attribute-Based Encryption (ABE) with Kubernetes labelling. Our proposed model tackles challenges related to complexity, cost, and compliance with data protection regulations by leveraging both Kubernetes and ABE. The approach introduces an attribute-based bursting mechanism that utilizes Kubernetes labels for orchestration, alongside an encryption component that employs ABE to safeguard data. This integrated management framework enhances data confidentiality while optimizing cloud bursting efficiency. By merging label-based orchestration with fine-grained encryption, our model delivers a secure yet user- Venkata Nikhilsolution. A proof-of-concept implementation validates the practicality and effectiveness of our approach, demonstrating its capability to align with security and privacy regulations while addressing the demands of modern cloud environments.

Zenodo (CERN European Organization for Nuclear Research)
Yogi Vemana University (IN)
Openalex Percentile: Top 43%
Adipokines, Inflammation, and Metabolic Diseases
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Attribute Based Management of Secure Kubernetes Cloud Bursting · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS