Reliable Data Sharing by Certificateless Encryption Supporting Keyword Search Against Vulnerable KGC in Industrial Internet of Things
| Autor: | Chun-I Fan, Arijit Karati, Er-Shuo Zhuang |
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| Rok vydání: | 2022 |
| Předmět: |
Revocation
business.industry Computer science Data security Cloud computing Access control Encryption Computer security computer.software_genre Computer Science Applications Outsourcing Data sharing Control and Systems Engineering Overhead (computing) Electrical and Electronic Engineering business computer Information Systems |
| Zdroj: | IEEE Transactions on Industrial Informatics. 18:3661-3669 |
| ISSN: | 1941-0050 1551-3203 |
| Popis: | Outsourcing Industrial-IoT (IIoT) data on the cloud extends the diversity of data analysis for decision making with minimized costs in communications and storage. However, it is adverse to the confidentiality of IIoT-data from the owner as access control of data is performed by honest-but-curious platforms. Although encryption strategy guarantees data security, it hinders deliverance due to its inbred all-or-nothing decryption. Certificateless encryption supporting keyword search eliminates the overhead of certificates and privileges to retrieve the required data through encrypted keyword search. However, most of the prior works are precarious against a malicious key generation center, which exposes data protected by users' private keys. We design a certificateless secure data sharing by uniting the functionalities of encryption and access control on search. Our technique resists in/out-side keyword guessing attacks and sustains on-demand user revocation. Besides, it achieves Girault's Level-3 security in the standard model. Nonetheless, empirical performance analysis under suitable scenario exhibits its feasibility compared to the other related schemes. |
| Databáze: | OpenAIRE |
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