Abstract
In the area of searchable encryption, public key encryption with keyword search (PEKS) has been a critically important and promising technique which provides secure search over encrypted data in cloud computing. PEKS can protect user data privacy without affecting the usage of the data stored in the untrusted cloud server environment. However, most of the existing PEKS schemes concentrate on data users’ rich search functionalities, regardless of their search permission. Attribute-based encryption technology is a good method to solve the security issues, which provides fine-grained access control to the encrypted data. In this paper, we propose a privacy-preserving and efficient public key encryption with keyword search scheme by using the ciphertext-policy attribute-based encryption (CP-ABE) technique to support both fine-grained access control and keyword search over encrypted data simultaneously. We formalize the security definition, and prove that our scheme achieves selective indistinguishability security against an adaptive chosen keyword attack. Finally, we present the performance analysis in terms of theoretical analysis and experimental analysis, and demonstrate the efficiency of our scheme.
Highlights
With the rise and popularity of cloud computing technology, more and more data users are motivated to outsource their data to cloud for storage, and start to enjoy the various advantages brought by cloud computing, such as large storage capacity, flexible accessibility and vast computationality.By outsourcing data to the cloud, data users are relieved from the heavy burden of local storage and management costs
We propose an efficient and privacy-preserving public key encryption with keyword search (PEKS)-CPABE scheme, which enables the data owner to control the search and use of its outsourced encrypted data in the cloud according to its access control policy
We propose a privacy-preserving and efficient public key encryption with a keyword search scheme based on ciphertext-policy attribute-based encryption (CP-Attribute-based encryption (ABE)) to support both fine-grained access control and keyword search over encrypted data simultaneously
Summary
With the rise and popularity of cloud computing technology, more and more data users are motivated to outsource their data to cloud for storage, and start to enjoy the various advantages brought by cloud computing, such as large storage capacity, flexible accessibility and vast computationality. Only the mail receiver is allowed to search on the encrypted emails in the cloud-based email system, while other users have no such permissions To solve this problem, CP-ABE technology is widely adopted as a viable tool to achieve flexible data access control over encrypted data, which can gain one-to-many encryption instead of one-to-one. In this paper, we propose a new privacy-preserving and efficient public key encryption with keyword search scheme based on ciphertext-policy attribute-based encryption (PEKS-CPABE) to support both fine-grained access control and keyword search over encrypted data simultaneously. We propose an efficient and privacy-preserving PEKS-CPABE scheme, which enables the data owner to control the search and use of its outsourced encrypted data in the cloud according to its access control policy.
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