Privacy-Preserving and Efficient Public Key Encryption with Keyword Search Based on CP-ABE in Cloud

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.

Attribute-based multi-user collaborative searchable encryption in COVID-19

“…Subsequently, in 2020, Zhou et al. [32] improved Yin’s work, making the efficiency of the scheme further improved. In the same year, in order to improve the accuracy of the search and the verifiability of the results, Cao et al.…”

“…Some representative attribute-based searchable encryption schemes are selected for comparison in Table 1 . It can be seen from Table 2 , compared with the schemes in the literature [30] and [32] , it can be found that only some of the schemes in the comparative literature can realize the collaborative search of users within the same group. In contrast, our proposed scheme can realize the collaborative search function of users within the same group on translation nodes with more vital access control function, which makes the scheme in this paper more practical.…”

Cardiac Diagnostic Feature and Demographic Identification (CDF-DI): An IoT Enabled Healthcare Framework Using Machine Learning

“…Sensitive data can be encrypted before being transferred to the cloud to mitigate this issue. We can save the encrypted medical data in the cloud to prevent patient information from being leaked and later can be used in processing after decryption [ 36 ]. We used a standard public key encryption method in which the data is encrypted using the public key method but only owner can decrypt the data with his/her private key.…”

Secure Multi-Keyword Search and Access Control over Electronic Health Records in Wireless Body Area Networks

“…For example, Vaanchig et al [20] proposed a temporary and fuzzy keyword search public key encryption scheme, which can resist keyword guessing attacks and limit data retrieval time, thus enhancing the security of keyword search. Zhou et al [21] proposed a public key encryption scheme, in which CP-ABE technology is used for fine-grained access control and keyword search of encrypted data.…”