Encryption and Decryption of cloud resource management for end Users by Hybrid Algorithm

In cloud computing, the security of resource management for end users remains a critical concern due to a hybrid encryption algorithm to enhance the security of cloud resource management, combining the strengths of symmetric and asymmetric cryptographic techniques. The proposed hybrid algorithm integrates advanced encryption methods to ensure data confidentiality, integrity, and authenticity during resource allocation and usage in cloud environments. The paper further discusses the algorithm's architecture, key management strategies, and security analysis, demonstrating its effectiveness in reducing computational overhead without compromising security. Experimental results show that the hybrid approach significantly improves the encryption and decryption speed, making it a suitable solution for real-time cloud resource management applications. The proposed framework thus provides a secure and efficient means for end users to manage cloud resources, enhancing trust and reliability in cloud services.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/ariia63345.2024.11051401
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Encryption and Decryption of cloud resource management for end Users by Hybrid Algorithm

Astha Pareek, Sarvesh Kumar, Anubha Jain
IoT and Edge/Fog Computing
article

Encryption and Decryption of cloud resource management for end Users by Hybrid Algorithm

Astha Pareek, Sarvesh Kumar, Anubha Jain
article en

Abstract

In cloud computing, the security of resource management for end users remains a critical concern due to a hybrid encryption algorithm to enhance the security of cloud resource management, combining the strengths of symmetric and asymmetric cryptographic techniques. The proposed hybrid algorithm integrates advanced encryption methods to ensure data confidentiality, integrity, and authenticity during resource allocation and usage in cloud environments. The paper further discusses the algorithm's architecture, key management strategies, and security analysis, demonstrating its effectiveness in reducing computational overhead without compromising security. Experimental results show that the hybrid approach significantly improves the encryption and decryption speed, making it a suitable solution for real-time cloud resource management applications. The proposed framework thus provides a secure and efficient means for end users to manage cloud resources, enhancing trust and reliability in cloud services.

Inspiration Innovation Synergy University (IN)
Openalex Percentile: Top 63%
IoT and Edge/Fog Computing
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