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Dynamic attribute-based encryption for secure data sharing in cloud applications
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DOI：10.1016/j.future.2026.108671.png)
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Abstract
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Today, a large volume of sensitive data is being stored and managed across different applications with the deployment of cloud computing technology. Therefore, implementing robust access control mechanisms is essential to ensure secure data sharing and prevent unauthorized access to critical information and resources. Traditional access control mechanisms often fail to adapt to the dynamic and evolving requirements of cloud-based applications. Ciphertext-Policy Attribute-Based Encryption (CP-ABE) offers a promising solution by providing fine-grained access control and data confidentiality in cloud environments. However, existing CP-ABE schemes have two major limitations. Firstly, it assigns static attributes, which limit the system’s ability to adapt to real-time changes in user attributes. Secondly, exposure to access policy attributes and user attributes during outsourced decryption may reveal sensitive information. To overcome these challenges, we propose a privacy-preserving, context-aware, attribute-based encryption system that dynamically adjusts to evolving contextual factors. Our approach incorporates dynamic attributes as contextual locks within the access structure to ensure access permissions based on both the user’s context and static attributes. The system allows for secure outsourcing of partial decryption by obfuscating the attributes within the access structure and the user’s transformed key. Furthermore, we mitigate key escrow attacks that prevent an untrusted key generation centre from compromising data security. We formally prove that our proposed cryptosystem guarantees data confidentiality and secrecy of the access policy. The performance analysis demonstrates that our cryptosystem provides adaptive access control while ensuring privacy, scalability, and efficiency in dynamic cloud environments.
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