A Verifiable and Efficient Symmetric Searchable Encryption Scheme for Dynamic Dataset with Forward and Backward Privacy

With the increasing reliance on cloud storage for managing organizational data, ensuring the privacy and security of sensitive information has become critical. This project proposes an efficient symmetric searchable encryption (SSE) scheme for dynamic datasets that supports secure keyword-based search over encrypted data without relying on trapdoors or message authentication codes (MACs). The system employs AES encryption for data confidentiality and SHA-256 hashing for securely indexing keywords. It ensures forward privacy, preventing newly added data from being linked to previous searches, and backward privacy, ensuring deleted records remain inaccessible in future queries. The architecture supports role-based access for managers, finance departments, and employees, allowing secure and dynamic data operations such as insertions, deletions, and searches. This approach achieves a balance between search efficiency and data privacy, making it suitable for privacy-preserving cloud-based applications.

Keywords: Symmetric Searchable Encryption (SSE), AES Encryption, SHA-256 Hashing, Forward Privacy, Backward Privacy, Encrypted Indexing, Dynamic Dataset, Secure Search, Cloud Data Security, Role-Based Access Control.