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Encryption with access policy and cloud data selection for secure and energy-efficient cloud computing
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DOI：10.1007/s11042-023-16082-6.png)
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Abstract
En 中文
With the rapid advancements in technology, cloud computing has emerged as a prominent paradigm for efficient data storage and processing. However, ensuring the security and energy efficiency of cloud computing remains a critical challenge. So, this paper proposed a novel framework that combines encryption with access policy enforcement and cloud data selection to enhance the security and energy efficiency of cloud computing systems. The main objective of this framework is to safeguard user data through encryption and ensure its confidentiality while optimizing resource utilization and energy efficiency by employing intelligent data distribution techniques among suitable cloud data centers. First, the user data are encrypted using enhanced ECC, and then, the important features from the tasks and the cloud server are extracted. The dimensionalities of the extracted features are reduced by using ENT-FLDA. Based on the features, the most optimal Data center is selected by using WP-SSO to process the encrypted data. Finally, shuffled MD5 is utilized to maintain data confidentiality; this allows only the authorized user to access the data. Experimental results show that the proposed architecture effectively distributes the data on the cloud with a minimum energy consumption rate and also withstands higher security rates.
Keywords:
Cloud data centers
Data Security
Energy-efficient distribution
Enhanced elliptic curve cryptography
Wiener process-based squirrel search algorithm
Shuffled MD5 hashing algorithm
Journal
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3
Papers:
2.0W
Citations:
3.2W
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