Secure Multi-Keyword Encrypted Search with Access Control for IoT Systems

Through edge nodes, the enormous terminals connect to the Internet of Things (IoT), creating additional privacy and security issues with data sharing and ciphertext search. Current ciphertext search techniques, on the other hand, frequently ignore lightweight computing paradigms and give scant consideration to the search needs of various data owners (DOs) and data users (DUs). To address these issues, we propose a secure fine-grained multi-keyword ciphertext search scheme with cloud-edge-end collaboration computing (SFMS-CC). This SFMS-CC scheme focuses on the efficiency of end users and employs a cloud-edge-end collaborative computing paradigm, effectively offloading the incremental overhead from terminals and achieving low-cost constant overhead for the first time on the DO/DU side. Additionally, a methodical ciphertext search framework that supports multiple keywords is described, which is based on public-key cryptography. To improve the user experience, each user is given a unique search Tok. A multi-DOs/multi-DUs model is also created by using attribute-based encryption, which smoothly incorporates entity private keys and public keys into encryption, search, decryption, and other processes, guaranteeing the scheme's high level of privacy and security. According to security study, the SFMS-CC system protects user information and outsourced data from plaintext attacks using encryption. According to simulation results, the SFMS-CC method is practical and effective.