Secure and efficient cloud framework for financial data sharing using attribute-based signcryption technique
摘要
In this research, we present an efficient framework for securely storing sensitive financial data in cloud environments using AES and an ABSC scheme with constant-size ciphertext. Our proposed solution combines symmetric encryption with logic-based access control and bilinear pairing operations to ensure data confidentiality, integrity, verifiability, unforgeability, and fine-grained access control. By leveraging a semi-trusted server for outsourced unsigncryption, our scheme reduces computational overhead on end users while maintaining the privacy and strong security. We have implemented our scheme and conducted the performance evaluations across different attribute sizes and compared them with other existing schemes that demonstrate the scalability and efficiency of our scheme, making it suitable for applications requiring secure and low-overhead access to sensitive data. Our proposed scheme advances secure cloud storage and enables future improvements in privacy-preserving financial data security.