Multiauthority Attribute‐Based Keyword Search over Cloud‐Edge‐End Collaboration in IoV
Yan Zhen, Yilan Chui, Puning Zhang, Huan Liu · Wireless Communications and Mobile Computing · 2022
The development of cloud computing and edge computing makes it possible to store and share Internet of Vehicles (IoV) data on a large scale, which greatly contributes to traffic intelligence, but outsourced data confidentiality and user privacy cannot be guaranteed. The Ciphertext Policy Attribute‐Based Encryption (CP‐ABE) scheme can achieve both fine‐grained access control and secure data sharing. However, existing CP‐ABE schemes owns high computational complexity, and the adopted single attribute authority mode is burdensome to resource‐limited IoV. Thus, this paper proposes a Multiauthority Attribute‐Based Keyword Search over Cloud‐Edge‐End Collaboration (CEABKS‐MA) system, leveraging the benefits of edge and cloud resources and effectively combining with the multiauthority structure to minimize the computation and storage pressure on resource‐limited parties in the system. In addition, fine‐grained keyword search with support for attribute update and lightweight encryption/decryption is extended. Finally, this paper demonstrates the security and efficiency of the CEABKS‐MA system through rigorous security analysis and simulation experiments.