Data Sharing Scheme Based on Local Differential Privacy and Attribute Encryption in Cloud Environment
Qiang Li, Yahong Li, Zhewei Li · 2023
Aiming at the problem that the cloud environment data sharing scheme relies on trusted third parties and user identity privacy protection, a data sharing scheme based on localized differential privacy and attribute encryption is designed, which combines blockchain technology and cloud storage to realize safe and reliable data sharing. Firstly, in order to protect user identity privacy, localized differential privacy is used to preprocess data. Secondly, it uses attribute encryption and searchable encryption technology, supports multi-keyword search, has fine-grained access control, and supports outsourcing decryption between users and cloud servers to improve decryption efficiency. Finally, through functional analysis and experimental comparison, the scheme has high efficiency, and has practical value in the data sharing scenario.