In green cloud computing, secure and efficient data management has become the biggest challenge. Attribute-based encryption (ABE) has emerged as a powerful cryptographic technique ensuring fine-grained access control over encrypted data. Still, the decryption process in ABE schemes is computationally intensive and challenging for users with limited resources to tackle this problem. Attribute-based encryption with Outsourced Decryption (ABE-OD) was presented, which can outsource decryption operation to the cloud server. Still, the cloud server decrypts exact cipher text repeatedly for multiple users satisfying the same access policy, which leads to inefficiency in green cloud networks. We propose a method to ensure efficient and minimum resource utilization by restricting cloud servers from performing single decryption operations for various users with the same access policy. Unlike ABE-OD, the total computation overhead of the proposed approach remains independent of several decryption requests. The proposed approach decreases the cloud servers’ total workload and lowers the computational cost for users.

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Optimized Outsourced Decryption for Attribute-Based Encryption: Cost-Efficiency for Users and Cloud Servers in Green Cloud Computing

  • Subhash G. Rathod,
  • Meghana R. Yashwante,
  • Sunita Nikam,
  • Sushama Laxman Pawar,
  • Nilesh J. Uke

摘要

In green cloud computing, secure and efficient data management has become the biggest challenge. Attribute-based encryption (ABE) has emerged as a powerful cryptographic technique ensuring fine-grained access control over encrypted data. Still, the decryption process in ABE schemes is computationally intensive and challenging for users with limited resources to tackle this problem. Attribute-based encryption with Outsourced Decryption (ABE-OD) was presented, which can outsource decryption operation to the cloud server. Still, the cloud server decrypts exact cipher text repeatedly for multiple users satisfying the same access policy, which leads to inefficiency in green cloud networks. We propose a method to ensure efficient and minimum resource utilization by restricting cloud servers from performing single decryption operations for various users with the same access policy. Unlike ABE-OD, the total computation overhead of the proposed approach remains independent of several decryption requests. The proposed approach decreases the cloud servers’ total workload and lowers the computational cost for users.