<p>The cloud computing paradigm enables ubiquitous on-demand access computing and provides resource sharing. The growing significance of cloud security has been apparent over time due to the quick expansion and increased reliance of corporate enterprises and service consumers on cloud domain. Restricted Access Control is perceived as a crucial security measure for protecting sensitive and confidential information. Since cloud service providers employ centralized access control, it is relatively easy for hackers and business administrators to deceive or expose sensitive information that is stored on the cloud. To address this, a novel framework has been proposed in this work that integrates blockchain-based decentralized access with privacy protection. The framework identifies a service node using their blockchain account addresses. To ensure security from vulnerable Cloud Service Provider (CSP), the data is encrypted before being stored on the blockchain. The framework introduces a Decentralized Trust Value (DTV) metric to monitor and evaluate malicious service nodes. The efficiency of the framework has been demonstrated in this work by depicting restricted access control using a simulation scenario of 5000 service users. Simulation results depict that the proposed framework surpasses traditional access control models through the integration of Zero-Knowledge Proofs (ZKP) for Key Management Service validation, attaining a service transaction accuracy of 90%. Furthermore, the security properties of the system have been validated using the Canetti and Krawczyk’s Model, confirming the robustness of the proposed approach.</p>

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Trust aware cloud service transactions using blockchain and zero-knowledge proofs

  • Urvashi Rahul Saxena,
  • Rajan Kadel,
  • Yogita Khatri,
  • Aakanksha Sharma,
  • Samar Shailendra,
  • Mohammad Tahidul Islam

摘要

The cloud computing paradigm enables ubiquitous on-demand access computing and provides resource sharing. The growing significance of cloud security has been apparent over time due to the quick expansion and increased reliance of corporate enterprises and service consumers on cloud domain. Restricted Access Control is perceived as a crucial security measure for protecting sensitive and confidential information. Since cloud service providers employ centralized access control, it is relatively easy for hackers and business administrators to deceive or expose sensitive information that is stored on the cloud. To address this, a novel framework has been proposed in this work that integrates blockchain-based decentralized access with privacy protection. The framework identifies a service node using their blockchain account addresses. To ensure security from vulnerable Cloud Service Provider (CSP), the data is encrypted before being stored on the blockchain. The framework introduces a Decentralized Trust Value (DTV) metric to monitor and evaluate malicious service nodes. The efficiency of the framework has been demonstrated in this work by depicting restricted access control using a simulation scenario of 5000 service users. Simulation results depict that the proposed framework surpasses traditional access control models through the integration of Zero-Knowledge Proofs (ZKP) for Key Management Service validation, attaining a service transaction accuracy of 90%. Furthermore, the security properties of the system have been validated using the Canetti and Krawczyk’s Model, confirming the robustness of the proposed approach.