Proactive Attribute-based Secure Data Schema for Mobile Cloud in Financial Industry
Cyber-security has become one of the most significant issues in the financial industry. New threats continuously emerge when new technologies or approaches are introduced. One security challenge is that financial customers are unaware of the hazards due to the hidden third party. We address this issue and propose a novel approach that is proactive defense means using attributed-based encryption and data self-deterministic schema to protect financial clients' privacy information. The proposed novel approach is named as Proactive Dynamic Secure Data Schema (P2DS), which is designed to ensure that the sensitive data cannot be directly used by the unanticipated party. Three algorithms have been proposed for P2DS, including Static Decryption Attribute Algorithm (SDAA), Corresponded Decryption Attribute Algorithm (CDAA), and Proactive Determinative Encryption Algorithm (PDEA). The main contributions of this paper are providing an effective method of protecting customers' privacy and reducing operating risks of the financial organizations. Our experiment has proved the validity and efficiency of the proposed schema.