Unbounded and Efficient Revocable Attribute-Based Encryption With Adaptive Security for Cloud-Assisted Internet of Things
Hu Xiong, Xin Huang, Minghao Yang, Lili Wang, Shui Yu
Abstract
Existing attribute-based encryption (ABE) schemes with revocation to secure the cloud-assisted Internet of Things (IoTs) raise challenges, such as eliminating the need for predefined public parameters in system initialization, performing the encryption and decryption operations efficiently, and achieving adaptive security under standard security assumption. In this article, we address these challenges by proposing an unbounded and efficient revocable ABE scheme with adaptive security for cloud-assisted IoTs. Distinct from the previous approaches in this field, our scheme not only efficiently realizes access control over encrypted data in a fine-grained and revocable way but also is proved to be adaptively secure under standard decision linear assumption. Meanwhile, the parameters do not need to be predefined in the system initialization and thus, our scheme satisfies the unbounded property. Moreover, the monotonic span program (MSP) is elegantly utilized as the access structure to reduce the number of bilinear pairing and exponentiation operations for encryption and decryption. Theoretical performance analysis and experiment evaluation disclose that our proposed scheme owns outstanding feasibility, efficiency, and effectiveness.