Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)

Context-Aware Encryption Key Generation for Real-Time Threat Mitigation in Zero-Trust Cloud Security

Authors
A. Shanthakumari1, *, R. Yogesh Raj Kumar2
1Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India
2Department of Information Technology, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India
*Corresponding author. Email: shanthabalaji2013@gmail.com
Corresponding Author
A. Shanthakumari
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-654-8_33How to use a DOI?
Keywords
Context-Aware Encryption; Quantum Holographic Fusion Encryption; adaptive Multi-Layer Holographic Compression and Optimisation; Zero-Trust cloud security; Cloud data protection
Abstract

Cloud computing environments need robust and adaptive security mechanisms against the ever-evolving cyber threats. Accordingly, this work proposes an innovative framework of Context-Aware Encryption Key Generation for Real-Time Mitigation in Zero-Trust Cloud Security. This incorporates an efficient Quantum Holographic Fusion Encryption (QHFE) algorithm with an Adaptive Multi-Layer Holographic Reduction and Optimisation (AMHCO) technique. The QHFE algorithm takes advantage of the holographic fusion principles to dynamically generate intrusion attempts. Complementing this, AMHCO enhances resilience against advanced intrusion attempts. Furthermore, AMHCO optimises cryptographic operations by means of hierarchical compression and dynamic resource allocation, thus enabling performance-efficient scalability in heterogeneous cloud infrastructures. Therefore, the experiments conducted herein employed the Kaggle cloud security dataset that contains named threat events along with contextual telemetry data. For that, the evaluation of traditional algorithms, such as AES, ECC, RC6, and PBKDF, was found to have mediocre accuracy. In this respect, the proposed framework reduced encryption latency while maintaining scalable performance across heterogeneous cloud workloads. Introduce QHFE for dynamic, context-aware key generation. Propose an efficient AMHCO for multi-layer optimisation of cryptographic operations. The experimental evaluation demonstrates a 95.6% accuracy in real-time threat detection and mitigation, performing conventional encryption models. The proposed approach not only supports zero-trust but also establishes a foundation for next-generation cloud security solutions that are context-aware, adaptive and quantum resilient.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
Series
Advances in Engineering Research
Publication Date
24 April 2026
ISBN
978-94-6239-654-8
ISSN
2352-5401
DOI
10.2991/978-94-6239-654-8_33How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - A. Shanthakumari
AU  - R. Yogesh Raj Kumar
PY  - 2026
DA  - 2026/04/24
TI  - Context-Aware Encryption Key Generation for Real-Time Threat Mitigation in Zero-Trust Cloud Security
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 396
EP  - 412
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_33
DO  - 10.2991/978-94-6239-654-8_33
ID  - Shanthakumari2026
ER  -