符号
云计算
加密
计算机科学
数据共享
数学
离散数学
算术
计算机安全
医学
操作系统
病理
替代医学
作者
Qian Mei,Minghao Yang,Jinhao Chen,Lili Wang,Hu Xiong
标识
DOI:10.1109/tdsc.2022.3188740
摘要
Expressive data sharing and efficient data deletion are essential to drive the development of cloud-assisted IoT. But insecure transmission and the vulnerability of the cloud server may cause potential threats to IoT data, attribute-based encryption (ABE) is widely applied to ensure data confidentially. Nonetheless, the potential data exposure caused by the compromised long-term key and the contradiction between conventional access structures in ABE and the various demands of data owners are still two huge challenges. To overcome these challenges, this article designs an unbounded and puncturable ciphertext-policy ABE with arithmetic span program ( $\mathcal {UP}$ - $\mathcal {CP}$ - $\mathcal {ABE}$ - $\mathcal {ASP}$ ) scheme and presents an expressive data sharing and self-controlled fine-grained data deletion solution in cloud-assisted IoT, which allows data owners to efficiently encrypt and share data with various computable access policies, but also enables data owners and data users to independently delete specific data stored in the cloud. The designed $\mathcal {UP}$ - $\mathcal {CP}$ - $\mathcal {ABE}$ - $\mathcal {ASP}$ leverages unbounded ABE and puncturable encryption to support the flexible update of system parameters and the deletion of specific data. Also, the arithmetic span program access structure is combined to realize expressive data sharing. Moreover, the $\mathcal {UP}$ - $\mathcal {CP}$ - $\mathcal {ABE}$ - $\mathcal {ASP}$ is adaptively secure in the standard model, and comprehensive performance evaluations demonstrate its practicability and scalability in cloud-assisted IoT.
科研通智能强力驱动
Strongly Powered by AbleSci AI