Secure Boolean Spatial Keyword Query With Lightweight Access Control in Cloud Environments
| Autor: | Geyong Min, Xiaochun Yang, Ningning Cui, Jianxin Li, Yun Liang Chen, Bin Wang |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Structure (mathematical logic)
Security analysis Computer Networks and Communications business.industry Computer science Access control Cloud computing Bloom filter Encryption Computer security computer.software_genre Computer Science Applications Outsourcing Attack model Hardware and Architecture Signal Processing business computer Information Systems |
| Zdroj: | IEEE Internet of Things Journal. 9:9503-9514 |
| ISSN: | 2372-2541 |
| Popis: | Spatial keyword query has attracted wide-spread academic and industrial concerns due to the popularity of LBSs and IOTs. To efficiently support the online query processing, the data owners need to outsource their data to cloud platforms. However, the outsourcing services may raise privacy leaking issues. Moreover, access control, another important security concern, is largely ignored. Therefore, we first propose and formalize the problem of secure boolean spatial keyword query under lightweight access control while guaranteeing the widely accepted adaptive indistinguishability against chosen keyword attack model. Then, we devise a novel hybrid Bloom filter encoding strategy including a linear embedding and exponent-based transformation schemes and a secure index structure, called SAGTree. They can maintain both geo-text and access policy information together in a secure way while answering the encrypted queries under access control without decryption. Finally, we present the in-depth security analysis and demonstrate the performance of our proposed algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|