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<p>The advent of cloud computing has ushered in a transformative era in data management, offering unprecedented levels of flexibility and scalability to businesses and individuals alike. However, the development of cloud services has brought to the forefront concerns about data security and privacy. As the foundation of modern digital infrastructure, safeguarding data in the cloud is of essential importance, especially in scenarios involving sensitive or confidential information. One of the most significant challenges in cloud computing is ensuring secure data sharing among multiple parties while maintaining rigorous security protocols. Traditional cryptographic methods have been crucial in addressing these concerns, but they often introduce complexity and computational overhead. To overcome these challenges and optimise the secure data sharing process in the cloud, researchers have been exploring innovative algorithms and optimisation techniques. This paper proposes a novel method called Secure Data - Monarch Butterfly Optimisation Algorithm (SD-MBOA) to enhance the security and efficiency of Attribute-Based Encryption (ABE) for cloud environments. By leveraging the natural behavior of butterflies in the Butterfly Optimization Algorithm, SD-MBOA improves encryption and decryption performance, offering faster processing times for large file sizes. Experimental results demonstrate that SD-MBOA achieves encryption times of 102&#xa0;s, 209&#xa0;s, and 318&#xa0;s for file sizes of 1GB, 2GB, and 3GB, respectively, outperforming existing methods like SD-PSO and DP-JWOA. Similarly, decryption times of 97, 175, and 213&#xa0;s for the same file sizes further validate the efficiency of the proposed method. The SD-MBOA provides a scalable and secure solution for cloud data sharing, ensuring enhanced performance and robust security for modern data-sharing applications.</p>

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Optimizing Cloud Data Security with Attribute-Based Encryption and Enhanced Nature-Inspired Algorithms

  • 期刊论文

  • 发表日期：

    2026年1月14日

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  • T. Ramesh,
  • T. Nadana Ravishankar,
  • A. V. Kalpana,
  • T. P. Anish

摘要

The advent of cloud computing has ushered in a transformative era in data management, offering unprecedented levels of flexibility and scalability to businesses and individuals alike. However, the development of cloud services has brought to the forefront concerns about data security and privacy. As the foundation of modern digital infrastructure, safeguarding data in the cloud is of essential importance, especially in scenarios involving sensitive or confidential information. One of the most significant challenges in cloud computing is ensuring secure data sharing among multiple parties while maintaining rigorous security protocols. Traditional cryptographic methods have been crucial in addressing these concerns, but they often introduce complexity and computational overhead. To overcome these challenges and optimise the secure data sharing process in the cloud, researchers have been exploring innovative algorithms and optimisation techniques. This paper proposes a novel method called Secure Data - Monarch Butterfly Optimisation Algorithm (SD-MBOA) to enhance the security and efficiency of Attribute-Based Encryption (ABE) for cloud environments. By leveraging the natural behavior of butterflies in the Butterfly Optimization Algorithm, SD-MBOA improves encryption and decryption performance, offering faster processing times for large file sizes. Experimental results demonstrate that SD-MBOA achieves encryption times of 102 s, 209 s, and 318 s for file sizes of 1GB, 2GB, and 3GB, respectively, outperforming existing methods like SD-PSO and DP-JWOA. Similarly, decryption times of 97, 175, and 213 s for the same file sizes further validate the efficiency of the proposed method. The SD-MBOA provides a scalable and secure solution for cloud data sharing, ensuring enhanced performance and robust security for modern data-sharing applications.