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Attribute-based encryption scheme with multi-keyword search and supporting attribute revocation in cloud storage
Shangping Wang1, Lisha Yao1, Yaling Zhang2
1School of Science, Xi'an University of Technology, Xi'an, Shaanxi, China.
This study introduces a novel attribute-based encryption scheme for secure cloud storage, enabling precise multi-keyword searches and robust attribute revocation. The system enhances data security and user privacy while allowing fine-grained access control.
Area of Science:
- Cryptography and Information Security
- Cloud Computing Security
- Data Privacy
Background:
- Attribute-based encryption (ABE) is crucial for secure data sharing in cloud environments.
- Existing ABE schemes often lack efficient multi-keyword search capabilities and fine-grained access control with revocation.
- User privacy and search query confidentiality are significant challenges in cloud-based data retrieval.
Purpose of the Study:
- To propose a novel attribute-based encryption scheme supporting multi-keyword search and attribute revocation in cloud storage.
- To enhance data security and user privacy during cloud data access and retrieval.
- To achieve secure and fine-grained access control with efficient keyword searching.
Main Methods:
- Development of an ABE scheme utilizing binary attributes and AND-gate access policies.
- Implementation of a multi-keyword search mechanism based on attribute matching and keyword tokens.
- Integration of an attribute revocation mechanism involving version updates for attributes, secret keys, and ciphertexts.
- Security analysis based on Decisional Linear (DL) and Decisional Diffie-Hellman (DDH) assumptions.
Main Results:
- The proposed scheme enables accurate multi-keyword search, ensuring data users only access relevant ciphertexts.
- User search privacy is preserved as cloud servers cannot infer keywords of interest.
- The scheme provides secure fine-grained access control and supports efficient attribute revocation.
- Security proofs demonstrate resistance against selectively chosen-keyword and chosen-plaintext attacks, ensuring token privacy.
Conclusions:
- The developed ABE scheme effectively addresses the challenges of secure multi-keyword search and attribute revocation in cloud storage.
- It offers enhanced security, improved data access control, and robust privacy protection for users.
- The scheme provides a practical solution for secure data management in cloud environments.
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