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Searchable attribute-based encryption scheme with attribute revocation in cloud storage.

Shangping Wang¹, Duqiao Zhao¹, Yaling Zhang²

¹School of Science, Xi'an University of Technology, Xi'an, Shaanxi, China.

|September 1, 2017

Summary

This summary is machine-generated.

This study introduces a new searchable attribute-based encryption scheme for cloud storage, incorporating attribute revocation and multi-keyword search capabilities for enhanced data security and access control.

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Area of Science:

Cryptography
Computer Science
Information Security

Background:

Attribute-based encryption (ABE) offers flexible data access control.
Attribute revocation is crucial for managing access over time.
Keyword search is essential for efficient data retrieval in cloud storage.

Purpose of the Study:

To develop a searchable attribute-based encryption scheme with attribute revocation for cloud storage.
To enable attribute-based keyword search with access control.
To enhance the practicality of searchable encryption schemes through multi-keyword support.

Main Methods:

Construction of a novel searchable attribute-based encryption scheme.
Integration of attribute revocation mechanisms.
Implementation of attribute-based multi-keyword search functionality.
Security analysis under decisional bilinear Diffie-Hellman exponent (q-BDHE) and decisional Diffie-Hellman (DDH) assumptions in the selective security model.

Main Results:

The proposed scheme enables secure and flexible access control to encrypted data in cloud storage.
Attribute-based keyword search is achieved with integrated access control.
The scheme supports efficient multi-keyword searches.
The scheme is proven secure under standard cryptographic assumptions.

Conclusions:

The developed scheme effectively combines attribute-based encryption, attribute revocation, and searchable capabilities for secure cloud storage.
The attribute-based keyword search enhances data privacy and retrieval efficiency.
The multi-keyword search feature increases the scheme's practicality for real-world applications.